Triple

T11998006
Position Surface form Disambiguated ID Type / Status
Subject Lambayong E285579 entity
Predicate locatedIn P40 FINISHED
Object Sultan Kudarat E54692 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: Sultan Kudarat | Statement: [Lambayong, locatedIn, Sultan Kudarat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sultan Kudarat
Context triple: [Lambayong, locatedIn, Sultan Kudarat]
  • A. Sultan Kudarat chosen
    Sultan Kudarat is a province in the Soccsksargen region of Mindanao in the southern Philippines, known for its cultural diversity and agricultural economy.
  • B. Rajah Lakandula
    Rajah Lakandula was a prominent 16th-century ruler of Tondo in the Philippines who is remembered for his leadership during the early period of Spanish colonization.
  • C. Tunku
    Tunku is a Malay royal honorific title traditionally used by members of certain royal families in Malaysia.
  • D. Sultan of Tidore
    The Sultan of Tidore was the hereditary Muslim monarch of the Tidore Sultanate in the Maluku Islands, historically influential in the regional spice trade and politics of eastern Indonesia.
  • E. Soliman
    Soliman is a coastal town and commune in northeastern Tunisia, known for its beaches and agricultural surroundings within the Nabeul 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f640b9a481908de1b7858e3db52c completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:46 p.m.