Triple
T26276087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durg–Bhilai–Raipur urban corridor |
E660572
|
entity |
| Predicate | containsMajorSteelPlant |
P25392
|
FINISHED |
| Object | Bhilai Steel Plant |
—
|
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: Bhilai Steel Plant | Statement: [Durg–Bhilai–Raipur urban corridor, containsMajorSteelPlant, Bhilai Steel Plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMajorSteelPlant Context triple: [Durg–Bhilai–Raipur urban corridor, containsMajorSteelPlant, Bhilai Steel Plant]
-
A.
hasIndustrialPlant
chosen
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
B.
hasSteelMillOrigin
Indicates that something originates from, is produced in, or is otherwise derived from a steel mill.
-
C.
steelworksClosed
Indicates that a steelworks facility has ceased operations or been shut down.
-
D.
hasSteelStructure
Indicates that one entity incorporates or is built with a structural framework made of steel in relation to another entity.
-
E.
steelPlantOperator
Indicates that one entity operates or manages a steel plant in relation to another entity.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 26, 2026, 9:55 p.m.