Triple

T3908929
Position Surface form Disambiguated ID Type / Status
Subject Irbid E87274 entity
Predicate hasNeighbouringCity P3883 FINISHED
Object Ajloun E105165 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: Ajloun | Statement: [Irbid, hasNeighbouringCity, Ajloun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajloun
Context triple: [Irbid, hasNeighbouringCity, Ajloun]
  • A. Salfit
    Salfit is a Palestinian city in the central West Bank that serves as the administrative center of the Salfit Governorate.
  • B. Ajloun Governorate chosen
    Ajloun Governorate is a hilly, forested administrative region in northwestern Jordan known for its strategic location, historical sites, and agricultural landscapes.
  • C. Irbid
    Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
  • D. 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.
  • E. Beit Jala
    Beit Jala is a historic Palestinian town in the Bethlehem Governorate of the West Bank, known for its Christian heritage, olive groves, and scenic hillside location.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed14d6d08190b74757eb9288fe4d completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5285851248190a18cea371aacbc49 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:22 p.m.