Triple

T15829432
Position Surface form Disambiguated ID Type / Status
Subject Homa Hotel Group E383830 entity
Predicate operatesInCity P3207 FINISHED
Object Bandar Abbas E161810 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: Bandar Abbas | Statement: [Homa Hotel Group, operatesInCity, Bandar Abbas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandar Abbas
Context triple: [Homa Hotel Group, operatesInCity, Bandar Abbas]
  • A. Bandar Abbas chosen
    Bandar Abbas is a strategic Iranian port city on the Persian Gulf that serves as a key maritime and commercial hub near the Strait of Hormuz.
  • B. Zahedan
    Zahedan is a major city in southeastern Iran and the capital of Sistan and Baluchestan Province, near the borders with Pakistan and Afghanistan.
  • C. Ahvaz
    Ahvaz is a major industrial city in southwestern Iran and the capital of Khuzestan Province, known for its oil industry and location along the Karun River.
  • D. Khorramshahr
    Khorramshahr is a strategic port city in southwestern Iran on the Shatt al-Arab waterway, historically significant for its role in World War II logistics and the Iran–Iraq War.
  • E. Bandar-e Emam Khomeyni
    Bandar-e Emam Khomeyni is a major port city in southwestern Iran on the Persian Gulf, serving as a key maritime and industrial hub.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e62aba8819090978801f4df73fe completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0035450810819092796c556dfa8ed3 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 4:49 a.m.