Triple
T7554747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primos |
E178632
|
entity |
| Predicate | hasRailStation |
P726
|
FINISHED |
| Object |
Primos station
Primos station is a commuter rail stop in Pennsylvania serving the SEPTA Regional Rail network.
|
E673555
|
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: Primos station | Statement: [Primos, hasRailStation, Primos station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Primos station Context triple: [Primos, hasRailStation, Primos station]
-
A.
Príncipe Pío station
Príncipe Pío station is a major intermodal transport hub in Madrid, Spain, combining commuter rail, metro, and bus services in a historic former railway terminal.
-
B.
Belen station
Belen station is a commuter rail station in Belen, New Mexico, serving as a key stop on the New Mexico Rail Runner Express line.
-
C.
Pío Nono station
Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
-
D.
Francisco station
Francisco station is an elevated Chicago 'L' rapid transit stop on the Brown Line located in the city's Ravenswood Manor neighborhood.
-
E.
Irarrázaval station
Irarrázaval station is a key interchange stop on the Santiago Metro system in Chile, serving as a connection point between multiple lines in the city’s underground network.
- 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: Primos station Triple: [Primos, hasRailStation, Primos station]
Generated description
Primos station is a commuter rail stop in Pennsylvania serving the SEPTA Regional Rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Primos station Target entity description: Primos station is a commuter rail stop in Pennsylvania serving the SEPTA Regional Rail network.
-
A.
Príncipe Pío station
Príncipe Pío station is a major intermodal transport hub in Madrid, Spain, combining commuter rail, metro, and bus services in a historic former railway terminal.
-
B.
Belen station
Belen station is a commuter rail station in Belen, New Mexico, serving as a key stop on the New Mexico Rail Runner Express line.
-
C.
Pío Nono station
Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
-
D.
Francisco station
Francisco station is an elevated Chicago 'L' rapid transit stop on the Brown Line located in the city's Ravenswood Manor neighborhood.
-
E.
Irarrázaval station
Irarrázaval station is a key interchange stop on the Santiago Metro system in Chile, serving as a connection point between multiple lines in the city’s underground network.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b990148190b26a3a262cf538b3 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856be6e1c8190ba292d4d9cf1f37f |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c85765d1f48190b171ff87a15c5b74 |
completed | March 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8580963748190b81bd7437259da28 |
completed | March 28, 2026, 10:36 p.m. |
Created at: March 27, 2026, 3:49 p.m.