Triple
T28051938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Faridabad metro station |
E708845
|
entity |
| Predicate | adjacentStationOnVioletLine |
P174363
|
FINISHED |
| Object | Badkhal Mor metro 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: Badkhal Mor metro station | Statement: [Old Faridabad metro station, adjacentStationOnVioletLine, Badkhal Mor metro station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnVioletLine Context triple: [Old Faridabad metro station, adjacentStationOnVioletLine, Badkhal Mor metro station]
-
A.
adjacentStationOnPinkLine
Indicates that one station is directly next to another station along the Pink Line route.
-
B.
adjacentStationOnPurpleLineExpress
Indicates that one station is directly next to another station along the Purple Line Express route.
-
C.
adjacentStationOnOrangeLine
Indicates that one station is directly next to another station along the Orange Line, with no other stations in between.
-
D.
adjacentStationOnBlueLine
Indicates that one station is directly next to another station along the Blue Line in the transit network.
-
E.
adjacentStationOnMetropolitanLine
Indicates that one station is directly next to another station along the Metropolitan Line, 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 27, 2026, 8:33 p.m.