Triple

T13222994
Position Surface form Disambiguated ID Type / Status
Subject Tell Balata E314800 entity
Predicate hasAlternativeName P39 FINISHED
Object Tel Balata E1027968 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: Tel Balata | Statement: [Tell Balata, hasAlternativeName, Tel Balata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tel Balata
Context triple: [Tell Balata, hasAlternativeName, Tel Balata]
  • A. Tel Balata chosen
    Tel Balata is an archaeological site in the West Bank widely identified with the ancient Canaanite city of Shechem.
  • B. Baqaa
    Baqaa is a town located in Saudi Arabia’s Ha'il Region, known for its rural character and proximity to the region’s desert landscapes.
  • C. Ba'aj
    Ba'aj is a small town in northwestern Iraq near the Syrian border, known for its remote desert location and strategic position within Nineveh Governorate.
  • D. Turtusha
    Turtusha is the historical Arabic name for the city of Tortosa in Catalonia, Spain, which was an important medieval port and cultural center.
  • E. Abu Tor
    Abu Tor is a mixed Jewish-Arab residential neighborhood in southern Jerusalem, known for its hillside location overlooking the Old City.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3407388190bef886884cb75912 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:19 p.m.