Triple

T34854104
Position Surface form Disambiguated ID Type / Status
Subject Bathinda Airport E1004679 entity
Predicate locatedAtAirForceStation P73931 FINISHED
Object Bhatinda Air Force Station
Bhatinda Air Force Station is an Indian Air Force base in Punjab that also hosts the civilian Bathinda Airport.
 E2115366 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: Bhatinda Air Force Station | Statement: [Bathinda Airport, locatedAtAirForceStation, Bhatinda Air Force Station]
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: Bhatinda Air Force Station
Triple: [Bathinda Airport, locatedAtAirForceStation, Bhatinda Air Force Station]
Generated description
Bhatinda Air Force Station is an Indian Air Force base in Punjab that also hosts the civilian Bathinda Airport.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locatedAtAirForceStation
Context triple: [Bathinda Airport, locatedAtAirForceStation, Bhatinda Air Force Station]
  • A. locatedOnMilitaryInstallation chosen
    Indicates that one entity is physically situated within the boundaries of, or directly on, a military installation or base.
  • B. garrisonOrStationedIn
    Indicates that a military force or unit is based, posted, or maintained at a particular location for defense, control, or operational purposes.
  • C. stationedOn
    Indicates that an entity is assigned to remain at a specific location, platform, or vehicle for duty or operational purposes.
  • D. isMilitaryBranchInstallationOf
    Indicates that a specific military installation belongs to, is operated by, or is an official facility of a particular military branch.
  • E. isMilitaryInstallation
    Indicates that a location functions as a military facility or base used for defense, training, operations, or related armed forces activities.
  • 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_69f76dba76f0819090643cba102c41ec completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a377958313c81908ebf5e881319888d completed June 21, 2026, 5:40 a.m.
NEDg Description generation batch_6a377a56f0fc819084db07a2722f39a0 completed June 21, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_6a377af6ab048190b572cefa83ec6dda completed June 21, 2026, 5:47 a.m.
PD Predicate disambiguation batch_6a0379ff1ba081908eda86acefcf69fb completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4 p.m.