Triple

T31706339
Position Surface form Disambiguated ID Type / Status
Subject Roorkee E809189 entity
Predicate hasNearbyMilitaryEstablishment P15652 FINISHED
Object Bengal Engineer Group centre
The Bengal Engineer Group Centre is a major training and regimental hub of the Indian Army’s Bengal Sappers, located in Roorkee, Uttarakhand.
 E1973687 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bengal Engineer Group centre
Triple: [Roorkee, hasNearbyMilitaryEstablishment, Bengal Engineer Group centre]
Generated description
The Bengal Engineer Group Centre is a major training and regimental hub of the Indian Army’s Bengal Sappers, located in Roorkee, Uttarakhand.
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    Indicates that an entity is located close to a site where a military installation previously existed but is no longer active.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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a2b84cda6688190bd6e88ab0302835a completed June 12, 2026, 4:02 a.m.
NEDg Description generation batch_6a2b85a5ab2c8190a60fcabd52457238 completed June 12, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2b8691a20481908df4fde011217317 completed June 12, 2026, 4:09 a.m.
PD Predicate disambiguation batch_69ff0f243ea88190970d2c520b55c816 completed May 9, 2026, 10:40 a.m.
Created at: April 30, 2026, 11:14 p.m.