Triple

T13085925
Position Surface form Disambiguated ID Type / Status
Subject Wadi al-Arish E310335 entity
Predicate nearbyCity P350 FINISHED
Object Arish E62765 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: Arish | Statement: [Wadi al-Arish, nearbyCity, Arish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arish
Context triple: [Wadi al-Arish, nearbyCity, Arish]
  • A. El Arish chosen
    El Arish is a coastal city in northeastern Egypt on the Mediterranean Sea, serving as the capital and main urban center of North Sinai Governorate.
  • B. Arish Port
    Arish Port is a coastal seaport on the Mediterranean in Egypt’s North Sinai region, serving as a key hub for regional trade and maritime activities.
  • C. Hamina
    Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
  • D. Kufa
    Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
  • E. Zababdeh
    Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:02 p.m.