Triple

T4611852
Position Surface form Disambiguated ID Type / Status
Subject Beas E100575 entity
Predicate nearestAirportCity P22550 FINISHED
Object Amritsar E23792 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: Amritsar | Statement: [Beas, nearestAirportCity, Amritsar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amritsar
Context triple: [Beas, nearestAirportCity, Amritsar]
  • A. Amritsar chosen
    Amritsar is a historic city in the Indian state of Punjab, renowned as the spiritual center of Sikhism and home to the Golden Temple.
  • B. Jalandhar
    Jalandhar is a major city in the Indian state of Punjab, known as an important commercial and cultural center, particularly famous for its sports goods and manufacturing industries.
  • C. Nawanshahr
    Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
  • D. Patiala
    Patiala is a historic city in the Indian state of Punjab, known for its royal heritage, distinctive architecture, and cultural contributions such as the Patiala peg and Patiala salwar.
  • E. Kapurthala
    Kapurthala is a historic city in the Indian state of Punjab, noted for its distinctive Indo-French architectural heritage and former princely-state status.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearestAirportCity
Context triple: [Beas, nearestAirportCity, Amritsar]
  • A. nearestAirport chosen
    Indicates that one airport is the closest in distance to a given location or entity compared to all other airports.
  • B. airportLocatedNear
    Indicates that an airport is situated close to a specified place or geographic feature.
  • C. nearestMajorCity
    Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
  • D. otherAirportOfCity
    Indicates that the subject airport is another airport serving the same city as the object airport.
  • E. airportLocatedIn
    Indicates that an airport is geographically situated within a specific administrative or territorial area.
  • F. None of above.

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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59bffbf08190b13ef0810e6f9d19 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c7add98819089fbff1a21a19e28 completed March 21, 2026, 8:53 a.m.
PD Predicate disambiguation batch_69bd522e2d5c8190937d0b5574f78f99 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:12 p.m.