Triple
T32359945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Rosario metro station |
E826830
|
entity |
| Predicate | isWesternTerminusFor |
P51120
|
FINISHED |
| Object |
Line 7
Line 7 is one of the lines of the Mexico City Metro system, running across the city to connect key residential and commercial areas.
|
E873075
|
NE FINISHED |
How this triple was built (3 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: Line 7 | Statement: [El Rosario metro station, isWesternTerminusFor, Line 7]
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: Line 7 Triple: [El Rosario metro station, isWesternTerminusFor, Line 7]
Generated description
Line 7 is one of the lines of the Mexico City Metro system, running across the city to connect key residential and commercial areas.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWesternTerminusFor Context triple: [El Rosario metro station, isWesternTerminusFor, Line 7]
-
A.
isWesternTerminusOfHistoricLine
Indicates that something serves as the western endpoint of a historically significant route, line, or transportation corridor.
-
B.
hasTerminusWest
chosen
Indicates that something has its western endpoint, terminus, or final stop at the referenced entity.
-
C.
hasCapitalTerminus
Indicates that a transportation route or line has its endpoint located in a capital city.
-
D.
easternTerminusLocatedOn
Indicates that the eastern endpoint of a route, line, or path is situated on or at a specified feature or location.
-
E.
terminusProvinceWest
Indicates that the western terminus of an entity (such as a route or line) is located within a specified province.
- F. None of above.
Provenance (6 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be93bb548190880e9671c1dd0f29 |
completed | May 3, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a33e8aa42448190ac5353dd6c57ac47 |
completed | June 18, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a33ee07f0988190a27a94e6b078700d |
completed | June 18, 2026, 1:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3449fa7fdc81908f0a6c26e74f3a48 |
completed | June 18, 2026, 7:41 p.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:49 a.m.