Triple
T33008873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westwood/VA Hospital station |
E844583
|
entity |
| Predicate | adjacentStationPlanned |
P41425
|
FINISHED |
| Object | Westwood/UCLA 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: Westwood/UCLA station | Statement: [Westwood/VA Hospital station, adjacentStationPlanned, Westwood/UCLA station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationPlanned Context triple: [Westwood/VA Hospital station, adjacentStationPlanned, Westwood/UCLA station]
-
A.
adjacentStationOnA
Indicates that one station is directly next to another station along line A in the network.
-
B.
adjacentToStation
Indicates that one entity is located next to or immediately beside a station.
-
C.
adjacentStationTowards
Indicates that one station is directly next to another station in a specified direction along a route or line.
-
D.
adjacentStationOnLine
chosen
Indicates that one station is directly next to another station along the same transit line, with no other station in between.
-
E.
adjacentStationFormerly
Indicates that two stations were directly adjacent to each other in the past, but are no longer adjacent in the current network configuration.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 1, 2026, 1:23 a.m.