Triple

T16112015
Position Surface form Disambiguated ID Type / Status
Subject National Highway 91 (old numbering) E390901 entity
Predicate connectedCity P4245 FINISHED
Object Etah E485174 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: Etah | Statement: [National Highway 91 (old numbering), connectedCity, Etah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etah
Context triple: [National Highway 91 (old numbering), connectedCity, Etah]
  • A. Etah chosen
    Etah is a town and administrative center in the Indian state of Uttar Pradesh, historically associated with the cultural Braj region.
  • B. Etah district
    Etah district is an administrative district in the Indian state of Uttar Pradesh, known for its location in western Uttar Pradesh and its inclusion in the culturally significant Braj region.
  • C. Hazratganj
    Hazratganj is a historic and bustling commercial and cultural hub in Lucknow, known for its colonial-era architecture, shopping arcades, and vibrant street life.
  • D. Kuruman
    Kuruman is a small town in South Africa’s Northern Cape province, known as a gateway to the Kalahari and for its historic natural spring, the Eye of Kuruman.
  • E. Galwa
    Galwa is a dialect of the Myene language spoken by communities in Gabon.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20167ee1481909e56dc632bfc0fc5 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79c74388190a10e0346426b0cbe completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.