Triple
T19765053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Anita |
E474731
|
entity |
| Predicate | isTransferStationBetween |
P21487
|
FINISHED |
| Object | Line 8 |
—
|
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: Line 8 | Statement: [Santa Anita, isTransferStationBetween, Line 8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 8 Context triple: [Santa Anita, isTransferStationBetween, Line 8]
-
A.
Line 8
chosen
Line 8 is a route of Mexico City’s Metrobús bus rapid transit system, serving key corridors with dedicated lanes and station platforms.
-
B.
Line 8
Line 8 is a rapid transit line of the Beijing Subway system that serves key central and northern districts of Beijing.
-
C.
Line 8
Line 8 is a line of the Mexico City Metro system that runs in a generally north–south direction, connecting key residential and commercial areas of the city.
-
D.
Line 8
Line 8 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's key urban rail corridors.
-
E.
Line 8
Line 8 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as part of the city's expanding urban rail network.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653226af081909992ff5568bb54a5 |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.