Triple

T16718789
Position Surface form Disambiguated ID Type / Status
Subject Danites E406290 entity
Predicate associatedWithCity P1481 FINISHED
Object Timnah E466912 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: Timnah | Statement: [Danites, associatedWithCity, Timnah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timnah
Context triple: [Danites, associatedWithCity, Timnah]
  • A. Timnah chosen
    Timnah is an ancient town in the Philistine region of the biblical Near East, known as the place where Samson sought a Philistine wife.
  • B. Tinnum
    Tinnum is a village on the German North Sea island of Sylt, known for its historic Tinnum Castle earthwork and its proximity to the island’s main town, Westerland.
  • C. Ta'Raach
    Ta'Raach is an underground hip-hop artist and producer known for his experimental, eclectic style and collaborations within the alternative rap scene.
  • D. Taimani
    Taimani are a sub-tribe of the Aimaq people of western Afghanistan, traditionally semi-nomadic and known for pastoralism and tribal social structures.
  • E. Tamachek
    Tamachek is an alternative name for Tamasheq, a Berber language spoken by the Tuareg people of the Sahara region.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865855108190bf8767b7b6c5fa10 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3f776c8190865a669fc63056b3 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.