Triple

T8073248
Position Surface form Disambiguated ID Type / Status
Subject Rowriah Airport E188426 entity
Predicate locatedNear P294 FINISHED
Object Rowriah E671098 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: Rowriah | Statement: [Rowriah Airport, locatedNear, Rowriah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rowriah
Context triple: [Rowriah Airport, locatedNear, Rowriah]
  • A. Rowriah chosen
    Rowriah is a locality in Jorhat, Assam, India, known primarily for hosting Jorhat Airport.
  • B. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • C. Reeth
    Reeth is a picturesque village in North Yorkshire, England, known as a popular walking and cycling base in Swaledale within the Yorkshire Dales National Park.
  • D. Ranyah
    Ranyah is a town and governorate in western Saudi Arabia known for its desert landscape and agricultural activities, particularly date farming.
  • E. Rahere
    Rahere was a 12th-century Anglo-Norman courtier and cleric best known for establishing St Bartholomew's Priory and Hospital in London.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe67d9dc8190ad72e3f5ce7478e3 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:27 p.m.