Triple

T12574069
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Military Academy E273661 entity
Predicate alsoKnownAs P39 FINISHED
Object PMA Kakul E300986 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: PMA Kakul | Statement: [Pakistan Military Academy, alsoKnownAs, PMA Kakul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PMA Kakul
Context triple: [Pakistan Military Academy, alsoKnownAs, PMA Kakul]
  • A. Kakul chosen
    Kakul is a village near Abbottabad in Pakistan, best known for hosting the Pakistan Military Academy, the country’s premier officer training institution.
  • B. Pujali
    Pujali is a small town and municipality in the Indian state of West Bengal, situated near Kolkata along the Hooghly River.
  • C. Pakir
    Pakir is a given name most notably associated with Avul Pakir Jainulabdeen Abdul Kalam, the former President of India and renowned aerospace scientist.
  • D. Kalikula
    Kalikula is a prominent tradition within Shaktism that centers on the worship of the fierce goddess Kali and related tantric practices.
  • E. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a629fc8190a1c3b6777aad4527 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65597dc70819089ddc1794e9bd1b7 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 4:42 p.m.