Triple

T9748490
Position Surface form Disambiguated ID Type / Status
Subject Umiam Lake E236376 entity
Predicate locatedIn P40 FINISHED
Object Shillong E45294 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: Shillong | Statement: [Umiam Lake, locatedIn, Shillong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shillong
Context triple: [Umiam Lake, locatedIn, Shillong]
  • A. Shillong chosen
    Shillong is the capital city of the northeastern Indian state of Meghalaya, known for its scenic hills, colonial-era architecture, and vibrant cultural life.
  • B. Imphal
    Imphal is the capital city of the Indian state of Manipur, known for its scenic valleys, historic Kangla Fort, and cultural significance in Northeast India.
  • C. Guwahati
    Guwahati is a major city in northeastern India, serving as a key cultural, economic, and transportation hub for the region.
  • D. Itanagar
    Itanagar is a northeastern Indian city known as the administrative and political center of Arunachal Pradesh, situated in the foothills of the Himalayas.
  • E. Dimapur
    Dimapur is a major commercial and transportation hub in northeastern India, serving as the primary gateway to the state of Nagaland.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d316faaed48190aa51e52b5b774cd8 completed April 6, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:23 p.m.