Triple
T10769648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Barcelona Metro) |
E254040
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Lesseps station
Lesseps station is a Barcelona Metro stop in the Gràcia district, providing urban rail access on the city's Line 3.
|
E884807
|
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: Lesseps station | Statement: [Line 3 (Barcelona Metro), servesStation, Lesseps station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesseps station Context triple: [Line 3 (Barcelona Metro), servesStation, Lesseps station]
-
A.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
-
B.
Vavin station
Vavin station is a Paris Métro station serving the Montparnasse area on the Left Bank.
-
C.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
D.
Cadaujac station
Cadaujac station is a local railway stop in the commune of Cadaujac in southwestern France, serving regional passenger trains.
-
E.
Mouton-Duvernet station
Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
- 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: Lesseps station Triple: [Line 3 (Barcelona Metro), servesStation, Lesseps station]
Generated description
Lesseps station is a Barcelona Metro stop in the Gràcia district, providing urban rail access on the city's Line 3.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lesseps station Target entity description: Lesseps station is a Barcelona Metro stop in the Gràcia district, providing urban rail access on the city's Line 3.
-
A.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
-
B.
Vavin station
Vavin station is a Paris Métro station serving the Montparnasse area on the Left Bank.
-
C.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
D.
Cadaujac station
Cadaujac station is a local railway stop in the commune of Cadaujac in southwestern France, serving regional passenger trains.
-
E.
Mouton-Duvernet station
Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d732307fb88190ba1447f68523c58a |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23798af48190874d7e12c5155913 |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de271fb08c8190a44c547083226fd8 |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cecc24c8190a240366e0600426a |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:16 p.m.