Triple

T14433849
Position Surface form Disambiguated ID Type / Status
Subject Karak Governorate E357904 entity
Predicate hasHistoricCity P3786 FINISHED
Object Al-Karak E1094645 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: Al-Karak | Statement: [Karak Governorate, hasHistoricCity, Al-Karak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Karak
Context triple: [Karak Governorate, hasHistoricCity, Al-Karak]
  • A. Al-Karak chosen
    Al-Karak is a historic Jordanian city best known for its imposing Crusader-era hilltop castle overlooking the surrounding region.
  • B. Qalqilya
    Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
  • C. Bayt Hanun
    Bayt Hanun is a town in the northeastern Gaza Strip, near the border with Israel, known for its strategic location and frequent involvement in the Israeli–Palestinian conflict.
  • D. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • E. Beit Lahia
    Beit Lahia is a town in the northern Gaza Strip known for its agricultural lands and proximity to several major refugee camps.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91471a648190adb7b283a6a85c3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967e9c208190a00a82122b8c884c completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:18 a.m.