Triple

T17652216
Position Surface form Disambiguated ID Type / Status
Subject Bahrain Airport Company E429522 entity
Predicate headquartersLocation P62 FINISHED
Object Muharraq, Bahrain NE NERFINISHED

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: Muharraq, Bahrain | Statement: [Bahrain Airport Company, headquartersLocation, Muharraq, Bahrain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muharraq, Bahrain
Context triple: [Bahrain Airport Company, headquartersLocation, Muharraq, Bahrain]
  • A. Bahrain (town)
    Bahrain is a small riverside town in Pakistan’s Swat District, known as a scenic tourist spot where two rivers meet and as a gateway to the Swat Valley’s northern areas.
  • B. Umm Salal, Qatar
    Umm Salal, Qatar is a municipality in the north of the Doha metropolitan area known for its rapidly growing residential communities and historic forts.
  • C. Bahrain chosen
    Bahrain is a small island nation in the Persian Gulf known for its rich history, oil wealth, and status as a regional financial and cultural hub.
  • D. Bahrain
    Bahrain is a popular riverside town and tourist destination in Pakistan’s Swat Valley, known for its scenic beauty and as a base for exploring nearby mountain areas.
  • E. Al Taweelah
    Al Taweelah is an industrial and port area in Abu Dhabi, United Arab Emirates, known for major energy and manufacturing facilities including large power, desalination, and aluminum production plants.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3e0ae481908382570f802d8144 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.