Triple
T2631648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4A |
E59643
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | La Cisterna station |
E284692
|
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: La Cisterna station | Statement: [Line 4A, hasStation, La Cisterna station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Cisterna station Context triple: [Line 4A, hasStation, La Cisterna station]
-
A.
La Cisterna station
chosen
La Cisterna station is a major interchange and southern endpoint of Santiago’s metro network, connecting Line 4A with other lines and local transport services.
-
B.
Cicero station
Cicero station is a commuter rail stop in Cicero, Illinois, serving passengers on Metra’s BNSF Railway Line between Chicago and its western suburbs.
-
C.
Catedral station
Catedral station is a central Buenos Aires Underground stop located in the city's downtown area, serving as a key access point to major civic and historic sites.
-
D.
Retiro station
Retiro station is a major Buenos Aires Underground terminus and transport hub located in the Retiro district of Argentina’s capital.
-
E.
Colma station
Colma station is a Bay Area Rapid Transit (BART) station serving the town of Colma and nearby Daly City in the San Francisco Bay Area.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c6e540819087c7f92432b27b0f |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98b93a108190b21f4af3e8c16c2b |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:50 p.m.