Triple
T2759755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Santiago Metro) |
E61190
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Gruta de Lourdes station
Gruta de Lourdes station is a stop on Santiago, Chile’s Metro system, serving passengers along Line 5.
|
E296092
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gruta de Lourdes station | Statement: [Line 5 (Santiago Metro), hasStation, Gruta de Lourdes station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gruta de Lourdes station Context triple: [Line 5 (Santiago Metro), hasStation, Gruta de Lourdes station]
-
A.
Lyon-Jean Macé station
Lyon-Jean Macé station is a railway and multimodal transport hub in Lyon, France, serving regional and local commuter traffic and providing an additional central access point to the city’s rail network.
-
B.
St. Denis station
St. Denis station is a MARC commuter rail stop in Maryland serving passengers on the Camden Line between Washington, D.C., and Baltimore.
-
C.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
D.
Pape station
Pape station is a subway station in Toronto, Ontario, serving the city's Bloor–Danforth line in the Greektown area.
-
E.
Salaryevo station
Salaryevo station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gruta de Lourdes station Triple: [Line 5 (Santiago Metro), hasStation, Gruta de Lourdes station]
Generated description
Gruta de Lourdes station is a stop on Santiago, Chile’s Metro system, serving passengers along Line 5.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gruta de Lourdes station Target entity description: Gruta de Lourdes station is a stop on Santiago, Chile’s Metro system, serving passengers along Line 5.
-
A.
Lyon-Jean Macé station
Lyon-Jean Macé station is a railway and multimodal transport hub in Lyon, France, serving regional and local commuter traffic and providing an additional central access point to the city’s rail network.
-
B.
St. Denis station
St. Denis station is a MARC commuter rail stop in Maryland serving passengers on the Camden Line between Washington, D.C., and Baltimore.
-
C.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
D.
Pape station
Pape station is a subway station in Toronto, Ontario, serving the city's Bloor–Danforth line in the Greektown area.
-
E.
Salaryevo station
Salaryevo station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd2121548190b96f174e6f61f9b5 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbe2d9cc81909b041635ae793bc3 |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbcc1dd988190826ab05e55adf1ee |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd452e1c8190a3ee9eaf642e80a0 |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 6, 2026, 9:57 p.m.