Triple
T31706339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roorkee |
E809189
|
entity |
| Predicate | hasNearbyMilitaryEstablishment |
P15652
|
FINISHED |
| Object | Bengal Engineer Group centre |
—
|
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: Bengal Engineer Group centre | Statement: [Roorkee, hasNearbyMilitaryEstablishment, Bengal Engineer Group centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyMilitaryEstablishment Context triple: [Roorkee, hasNearbyMilitaryEstablishment, Bengal Engineer Group centre]
-
A.
hasFormerMilitaryInstallationNearby
Indicates that an entity is located close to a site where a military installation previously existed but is no longer active.
-
B.
nearMilitaryInstallation
chosen
Indicates that one entity is located in close physical proximity to a military installation or facility.
-
C.
hasNearbyMilitaryTrainingArea
Indicates that an entity is located close to a designated area used for military training activities.
-
D.
hasNearbyMilitaryTown
Indicates that one location is situated close to a town whose primary function or identity is associated with military presence or activity.
-
E.
hasMilitaryBase
Indicates that one entity possesses, hosts, or contains a military base associated with or located on 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
Created at: April 30, 2026, 11:14 p.m.