Triple
T27046220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Joaquín |
E684639
|
entity |
| Predicate | hasAdjacentStationOnLine7 |
P172352
|
FINISHED |
| Object | Polanco |
—
|
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: Polanco | Statement: [San Joaquín, hasAdjacentStationOnLine7, Polanco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentStationOnLine7 Context triple: [San Joaquín, hasAdjacentStationOnLine7, Polanco]
-
A.
hasAdjacentStationOnLine6
Indicates that one station is directly next to another station along transit line 6, with no other stations in between on that line.
-
B.
hasAdjacentStationOnU7
Indicates that one station is directly next to another station along the U7 line.
-
C.
hasAdjacentStationOnLine 7bis
Indicates that one station is directly next to another station along metro line 7bis.
-
D.
hasAdjacentStationOnLine8
Indicates that two stations are directly next to each other along subway Line 8, with no other station between them on that line.
-
E.
hasAdjacentStationOnLine 5
Indicates that one station is directly next to another station along line 5, with no other stations in between on that line.
- F. None of above. chosen
Provenance (4 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 27, 2026, 8:10 a.m.