Triple

T8054447
Position Surface form Disambiguated ID Type / Status
Subject Loralai Plateau E187760 entity
Predicate locatedNear P294 FINISHED
Object Loralai E35802 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: Loralai | Statement: [Loralai Plateau, locatedNear, Loralai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loralai
Context triple: [Loralai Plateau, locatedNear, Loralai]
  • A. Loralai chosen
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • B. Norala
    Norala is a rural municipality in the province of South Cotabato in the Philippines, known for its agricultural economy and multicultural communities.
  • C. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • D. Earlitha
    Earlitha "Cookie" Johnson is an American businesswoman and philanthropist best known as the wife of NBA legend Magic Johnson and for her work in fashion and HIV/AIDS advocacy.
  • E. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f9fb8dc8190bacc1f66ddfd1cbf completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63d2d5008190b768e7a8b910e460 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:25 p.m.