Triple

T14521514
Position Surface form Disambiguated ID Type / Status
Subject Pearl Monument E340661 entity
Predicate locatedNear P294 FINISHED
Object Doha Bay E306582 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: Doha Bay | Statement: [Pearl Monument, locatedNear, Doha Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doha Bay
Context triple: [Pearl Monument, locatedNear, Doha Bay]
  • A. Doha Bay chosen
    Doha Bay is a prominent natural harbor along the coast of Doha, Qatar, known for its waterfront skyline and cultural landmarks.
  • B. بقيق
    بقيق هي مدينة سعودية في المنطقة الشرقية تشتهر بكونها مركزاً مهماً لصناعة النفط ومعالجة البترول.
  • C. Ras Al Khair
    Ras Al Khair is an industrial city on Saudi Arabia’s eastern coast, known for its major mining, minerals processing, and maritime industries.
  • D. Nad Al Sheba
    Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
  • E. Kuwait Bay
    Kuwait Bay is a shallow, semi-enclosed inlet of the Persian Gulf along the coast of Kuwait, known for its ecological importance and its role in the country’s maritime and urban landscape.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c1bf988190b1265c3db9a6b590 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:22 a.m.