Triple

T15294611
Position Surface form Disambiguated ID Type / Status
Subject Beit Hanun E365619 entity
Predicate hasRoadConnectionTo P11435 FINISHED
Object Gaza City E37662 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: Gaza City | Statement: [Beit Hanun, hasRoadConnectionTo, Gaza City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaza City
Context triple: [Beit Hanun, hasRoadConnectionTo, Gaza City]
  • A. Gaza City chosen
    Gaza City is a densely populated urban center on the Mediterranean coast that serves as the political, economic, and cultural hub of the Gaza Strip.
  • B. Khan Yunis
    Khan Yunis is a major city in the southern Gaza Strip, known as a densely populated urban center and frequent focal point of the Israeli–Palestinian conflict.
  • C. Rafah
    Rafah is a city in the southern Gaza Strip, located on the border with Egypt and known as a key crossing point and site of frequent conflict.
  • D. Gaza
    Gaza is a Jamaican dancehall collective and musical movement led by Vybz Kartel (Adidja Palmer), known for its influential role in contemporary dancehall culture.
  • E. Gaza Governorate
    Gaza Governorate is a densely populated administrative region in the southern part of the Gaza Strip, encompassing Gaza City as its main urban center.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03682ea488190ac82fdbd0e855d34 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff133d171c8190918c9624bcdb7451 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:15 a.m.