Triple

T12347294
Position Surface form Disambiguated ID Type / Status
Subject Sheikh Zuweid E294389 entity
Predicate locatedNear P294 FINISHED
Object Rafah E340170 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: Rafah | Statement: [Sheikh Zuweid, locatedNear, Rafah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafah
Context triple: [Sheikh Zuweid, locatedNear, Rafah]
  • A. 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.
  • B. Rafah (Egypt) chosen
    Rafah (Egypt) is a border town in Egypt’s North Sinai Governorate, situated on the frontier with the Gaza Strip and known primarily as a key gateway for cross-border movement and trade.
  • C. 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.
  • D. Rafah refugee camp
    Rafah refugee camp is a densely populated Palestinian refugee settlement in the southern Gaza Strip, near the border with Egypt, known for its longstanding humanitarian challenges and repeated exposure to conflict.
  • E. Gaza City
    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.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aae8d7c8190a722c28a5a153d1d completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.