Triple
T10695149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catedral station |
E252116
|
entity |
| Predicate | hasConnection |
P8776
|
FINISHED |
| Object | Bolívar station |
E716619
|
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: Bolívar station | Statement: [Catedral station, hasConnection, Bolívar station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolívar station Context triple: [Catedral station, hasConnection, Bolívar station]
-
A.
Bolívar station
chosen
Bolívar station is a stop on the Buenos Aires Underground (Subte) network, serving Line E in the historic center of Argentina’s capital.
-
B.
Baquedano station
Baquedano station is a major interchange hub in the Santiago Metro system, connecting multiple lines and serving as a key access point to the central area of Chile’s capital.
-
C.
La Paz station
La Paz station is a Mexico City Metro terminal station serving as the eastern endpoint of Line A in the State of Mexico.
-
D.
Castro Barros station
Castro Barros station is a stop on Buenos Aires’ historic Line A subway, serving the Almagro neighborhood with access to central parts of the city.
-
E.
Buendia station
Buendia station is an elevated rapid transit stop on Manila's MRT Line 3 serving the busy Buendia Avenue area in Makati, Philippines.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd39c3788190bb7cd0acf8b6efdd |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbad00f7c8819097566994307c4550 |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:11 p.m.