Triple

T14269833
Position Surface form Disambiguated ID Type / Status
Subject KWI E353749 entity
Predicate nearLocality P350 FINISHED
Object Farwaniya E108860 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: Farwaniya | Statement: [KWI, nearLocality, Farwaniya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farwaniya
Context triple: [KWI, nearLocality, Farwaniya]
  • A. Farwaniya chosen
    Farwaniya is a major residential and commercial district in Kuwait, known for its dense population and role as a key urban center near Kuwait City.
  • B. Gharyan
    Gharyan is a major town in northwestern Libya, known as an administrative and commercial center in the Nafusa Mountains region.
  • C. Al-Uqair
    Al-Uqair is an ancient coastal port in eastern Saudi Arabia that historically served as a key trading and administrative gateway for the region.
  • D. Nasiriyah
    Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
  • E. Al Ghaydah
    Al Ghaydah is a coastal city in eastern Yemen that serves as the administrative and commercial center of the Mahra Governorate near the border with Oman.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467d45c88190ac6ac280aa691591 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:10 a.m.