Triple

T6145730
Position Surface form Disambiguated ID Type / Status
Subject Jamnagar Airport E137070 entity
Predicate hasCityServed P3936 FINISHED
Object Jamnagar E24552 NE FINISHED

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: Jamnagar | Statement: [Jamnagar Airport, hasCityServed, Jamnagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamnagar
Context triple: [Jamnagar Airport, hasCityServed, Jamnagar]
  • A. Jamnagar chosen
    Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
  • B. Bhadohi
    Bhadohi is a city in Uttar Pradesh, India, renowned as a major center for carpet weaving and often referred to as the "Carpet City" of the country.
  • C. Hajipur
    Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
  • D. Yamunanagar
    Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
  • E. Sarabhanga
    Sarabhanga is an ascetic sage in the Hindu epic Ramayana, known for his encounter with Rama in the Aranya Kanda and his renunciation of the mortal body to attain higher spiritual realms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cdd2dc0819080a4adf0cead3603 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c68564f0bc81909a310ec2026caa7f completed March 27, 2026, 1:25 p.m.
Created at: March 22, 2026, 4:16 p.m.