Triple

T15086668
Position Surface form Disambiguated ID Type / Status
Subject Kalampaka municipality E360291 entity
Predicate administrativeCenter P1474 FINISHED
Object Kalampaka E360287 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: Kalampaka | Statement: [Kalampaka municipality, administrativeCenter, Kalampaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalampaka
Context triple: [Kalampaka municipality, administrativeCenter, Kalampaka]
  • A. Kalampaka chosen
    Kalampaka is a town in central Greece best known as the gateway to the Meteora monasteries, a UNESCO World Heritage site built atop towering rock pillars.
  • B. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • C. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • D. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • E. Kalaong
    Kalaong is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00276d1608190bc310d5b86ecd1d5 completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e188448190b855ace5ab390646 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:03 a.m.