Triple

T7124815
Position Surface form Disambiguated ID Type / Status
Subject Tlawng River E166032 entity
Predicate nearbySettlement P350 FINISHED
Object Kolasib E644045 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: Kolasib | Statement: [Tlawng River, nearbySettlement, Kolasib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolasib
Context triple: [Tlawng River, nearbySettlement, Kolasib]
  • A. Kolasib district chosen
    Kolasib district is an administrative district in the Indian state of Mizoram, known for its hilly terrain, agricultural activities, and location along Mizoram’s northern border with Assam.
  • B. Polomolok
    Polomolok is an agricultural municipality in the Philippines known for its large pineapple plantations and proximity to Mount Matutum.
  • C. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • D. Litohoro
    Litohoro is a town in northern Greece situated at the base of Mount Olympus, known as a gateway for hikers and visitors to the famous mountain.
  • E. Bibinje
    Bibinje is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, located just southeast of the city of Zadar.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64c0f688190a9b7482d86c2f033 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad899dc081908808dc60015fd19e completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:44 p.m.