Triple

T7692401
Position Surface form Disambiguated ID Type / Status
Subject President of East Timor E174279 entity
Predicate officeHoldersInclude P537 FINISHED
Object Taur Matan Ruak E173803 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: Taur Matan Ruak | Statement: [President of East Timor, officeHoldersInclude, Taur Matan Ruak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taur Matan Ruak
Context triple: [President of East Timor, officeHoldersInclude, Taur Matan Ruak]
  • A. Taur Matan Ruak chosen
    Taur Matan Ruak is an East Timorese military leader and politician who served as commander of the national defence force and later as President of Timor-Leste.
  • B. Mount Loilaeng
    Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
  • C. Mount Werong
    Mount Werong is a prominent peak in New South Wales, Australia, known as the loftiest summit within the Blue Mountains region.
  • D. Sangotedo
    Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
  • E. Mount Loke
    Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7024481448190b32ba04e8792f15a completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be22dd6481908bb4c1afaf65bcb4 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:02 p.m.