Triple
T22054729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Guadalupe, California |
E544976
|
entity |
| Predicate | hasRailStation |
P726
|
FINISHED |
| Object | Guadalupe station |
—
|
NE NERFINISHED |
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: Guadalupe station | Statement: [City of Guadalupe, California, hasRailStation, Guadalupe station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guadalupe station Context triple: [City of Guadalupe, California, hasRailStation, Guadalupe station]
-
A.
Guadalupe station
Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
-
B.
Guadalupe station
chosen
Guadalupe station is a passenger rail station in Guadalupe, California, serving as a local stop on regional commuter and intercity rail services.
-
C.
Buenavista station
Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
-
D.
Catalinas station
Catalinas station is a stop on Buenos Aires’ Line E underground, serving the Catalinas area in the city’s central business district.
-
E.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285681848190a0bbe18d504d1f34 |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.