Triple

T15338545
Position Surface form Disambiguated ID Type / Status
Subject Bayt Hanun E366729 entity
Predicate arabicName P6450 FINISHED
Object بيت حانون E365619 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: بيت حانون | Statement: [Bayt Hanun, arabicName, بيت حانون]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: بيت حانون
Context triple: [Bayt Hanun, arabicName, بيت حانون]
  • A. بيت حانون
    بيت حانون هي بلدة فلسطينية تقع في أقصى شمال قطاع غزة وتُعرف بقربها من الحدود مع إسرائيل وتعرضها المتكرر للعمليات العسكرية.
  • B. Beit Khallaf
    Beit Khallaf is an archaeological site in Upper Egypt known for its large Early Dynastic mastaba tombs and royal burials.
  • C. Beit Hanun chosen
    Beit Hanun is a town in the northeastern Gaza Strip near the border with Israel, known for its strategic location and frequent involvement in regional conflict.
  • D. Beit Awwa
    Beit Awwa is a Palestinian village located in the southern West Bank, southwest of Hebron, known for its agricultural character and proximity to the Green Line.
  • E. Sir ed-Danniyeh
    Sir ed-Danniyeh is a village located in the Miniyeh-Danniyeh District of northern Lebanon, known for its mountainous terrain and rural character.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e11b22c81908280efe65acd5454 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f2ee9c819080fce24ed13a07c7 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.