Triple

T3446024
Position Surface form Disambiguated ID Type / Status
Subject Rafah E72679 entity
Predicate nearbyCity P350 FINISHED
Object Khan Yunis E362008 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: Khan Yunis | Statement: [Rafah, nearbyCity, Khan Yunis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khan Yunis
Context triple: [Rafah, nearbyCity, Khan Yunis]
  • A. Khan Yunis Governorate chosen
    Khan Yunis Governorate is an administrative region in the southern Gaza Strip that includes the city of Khan Yunis and surrounding towns and refugee camps.
  • B. 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.
  • C. Beit Hanoun
    Beit Hanoun is a town in the northern Gaza Strip near the Israeli border, known for its strategic location and frequent involvement in the Israeli–Palestinian conflict.
  • D. 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.
  • E. Khan Yunis refugee camp
    Khan Yunis refugee camp is a densely populated Palestinian refugee camp in the southern Gaza Strip, established for refugees from the 1948 Arab–Israeli war and now one of the area’s largest and most impoverished communities.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2cc3048190ab1385699387df8d completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ca92ac819081fd3b3c49a13e0a completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 3:16 p.m.