Triple
T29022674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olleros station |
E737497
|
entity |
| Predicate | nextStationOnLineD |
P83137
|
FINISHED |
| Object | Ministro Carranza 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: Ministro Carranza station | Statement: [Olleros station, nextStationOnLineD, Ministro Carranza station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nextStationOnLineD Context triple: [Olleros station, nextStationOnLineD, Ministro Carranza station]
-
A.
nextStationEast
Indicates that one station is the immediate next station to the east of another station along a route or line.
-
B.
nextStationOnLine1Southbound
Indicates that one station is the immediate next stop when traveling southbound on transit line 1.
-
C.
futureTerminusStation
Indicates that a station is designated to become a terminus (end point) of a transit line or route at a specified future time.
-
D.
previousStationOnLine1
Indicates that one station is the immediately preceding station to another station along transit line 1.
-
E.
adjacentStationOnLineD
chosen
Indicates that one station is directly next to another station along line D, with no other stations in between on that line.
- F. None of above.
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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66006c1188190807dd0170a63e988 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:50 a.m.