Triple

T10433339
Position Surface form Disambiguated ID Type / Status
Subject Husan E245972 entity
Predicate locatedNear P294 FINISHED
Object Nahalin E245973 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: Nahalin | Statement: [Husan, locatedNear, Nahalin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nahalin
Context triple: [Husan, locatedNear, Nahalin]
  • A. Nahalin chosen
    Nahalin is a Palestinian village located southwest of Bethlehem in the central West Bank, known for its agricultural terraces and surrounding olive and grape orchards.
  • B. Mayim
    Mayim is a feminine given name of Hebrew origin meaning "water," notably borne by actress and neuroscientist Mayim Bialik.
  • C. Naharlagun
    Naharlagun is a town in the Papum Pare district of Arunachal Pradesh, India, located near the state capital Itanagar and serving as an important local administrative and transport hub.
  • D. Unaaha
    Unaaha is a town in Indonesia that serves as an administrative and population center within the province of Southeast Sulawesi.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea65afe08190b91260c9267a0f14 completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87eb8c70481909b9320af15f2b5e9 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:14 p.m.