Triple
T37112957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malad railway station |
E919039
|
entity |
| Predicate | adjacentStationOnWesternLine |
P58181
|
FINISHED |
| Object | Goregaon railway 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: Goregaon railway station | Statement: [Malad railway station, adjacentStationOnWesternLine, Goregaon railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnWesternLine Context triple: [Malad railway station, adjacentStationOnWesternLine, Goregaon railway station]
-
A.
adjacentStationOnCentralLineTowardsWest
Indicates that one station is directly next to another on the Central Line in the westbound direction.
-
B.
adjacentStationWest
chosen
Indicates that one station is immediately to the west of another station in a spatial or network layout.
-
C.
adjacentStationOnCapitalLine
Indicates that one station is directly next to another station along the Capital Line, with no other stations in between.
-
D.
adjacentStationOnRobinHoodLine
Indicates that one station is directly next to another station along the Robin Hood railway line.
-
E.
adjacentStationOnSilverLine
Indicates that one station is directly next to another station along the Silver Line, with no other stations in between.
- 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:15 p.m.