Triple
T9118805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 3 (Mexico City Metro) |
E218789
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Hospital General |
E779522
|
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: Hospital General | Statement: [Line 3 (Mexico City Metro), hasStation, Hospital General]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hospital General Context triple: [Line 3 (Mexico City Metro), hasStation, Hospital General]
-
A.
Hospital General
chosen
Hospital General is a Mexico City Metro station on Line 3 that serves the area around the city’s main General Hospital.
-
B.
Hospital station
Hospital station is a passenger rail station on the Valparaíso Metro system in Chile, serving the surrounding urban area and nearby medical facilities.
-
C.
Hospital Key
Hospital Key is a small, uninhabited island within Dry Tortugas National Park in Florida, known for its protected wildlife and remote, pristine marine environment.
-
D.
Hospital Real
Hospital Real is a historic former royal hospital in Granada, Spain, now serving as the main administrative headquarters of the University of Granada.
-
E.
HospitalRun
HospitalRun is an open-source, offline-first hospital management software project designed to improve healthcare record-keeping in low-resource settings.
- 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_69d047baf5e48190aab0eb19908fabfc |
completed | April 3, 2026, 11:05 p.m. |
Created at: March 30, 2026, 7:17 p.m.