Triple
T9118815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Mexico City Metro) |
E218789
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Universidad |
E218788
|
NE FINISHED |
How this triple was built (2 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: Universidad | Statement: [Line 3 (Mexico City Metro), hasStation, Universidad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Universidad Context triple: [Line 3 (Mexico City Metro), hasStation, Universidad]
-
A.
Universidad
chosen
Universidad is a Mexico City Metro station that serves as a major southern terminus and gateway to the National Autonomous University of Mexico (UNAM) campus.
-
B.
Universitas
Universitas is a Latin term commonly used to denote a university or community of scholars dedicated to higher learning and research.
-
C.
Universitate
Universitate is a central Bucharest metro station located near the University of Bucharest and several major cultural and administrative landmarks.
-
D.
Universytet
Universytet is a central Kharkiv Metro station named for its proximity to major universities and academic institutions in the city.
-
E.
University College
University College is an academic division of Texas A&M University–Corpus Christi that provides foundational coursework and support services to help students transition into and succeed in their degree programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a7c6d48190a015efd17a017ca1 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d07758ce3c819088e78674a7da5a06 |
completed | April 4, 2026, 2:28 a.m. |
Created at: March 30, 2026, 7:17 p.m.