Triple

T3855683
Position Surface form Disambiguated ID Type / Status
Subject Lapu-Lapu E90007 entity
Predicate title P38 FINISHED
Object Datu
Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
 E393625 NE FINISHED

How this triple was built (4 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: Datu | Statement: [Lapu-Lapu, title, Datu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Datu
Context triple: [Lapu-Lapu, title, Datu]
  • A. Daatu
    Daatu is a Kannada novel by S. L. Bhyrappa that explores complex social and caste dynamics in Indian society.
  • B. Digitata
    Digitata is an American electronic and indie rock band known for its moody, synth-driven sound and ties to the Minneapolis music scene.
  • C. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • D. DAT
    DAT is the ICAO airline designator assigned to Lynx Air, a Canadian low-cost carrier.
  • E. Daha
    Daha was a prominent historical city in East Java that served as the political and cultural center of the medieval Kediri Kingdom in Indonesia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Datu
Triple: [Lapu-Lapu, title, Datu]
Generated description
Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Datu
Target entity description: Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
  • A. Daatu
    Daatu is a Kannada novel by S. L. Bhyrappa that explores complex social and caste dynamics in Indian society.
  • B. Digitata
    Digitata is an American electronic and indie rock band known for its moody, synth-driven sound and ties to the Minneapolis music scene.
  • C. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • D. DAT
    DAT is the ICAO airline designator assigned to Lynx Air, a Canadian low-cost carrier.
  • E. Daha
    Daha was a prominent historical city in East Java that served as the political and cultural center of the medieval Kediri Kingdom in Indonesia.
  • F. None of above. chosen

Provenance (5 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec07d45081909b8f3e35eb710f4c completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041f40f88190883339db0950026a completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50492239c8190a6c62504e2a6d130 completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b50863e4a08190bd54274b2212abfc completed March 14, 2026, 7:04 a.m.
Created at: March 9, 2026, 3:19 p.m.