Triple

T4639015
Position Surface form Disambiguated ID Type / Status
Subject Region XI E101605 entity
Predicate hasCity P316 FINISHED
Object Panabo E240756 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: Panabo | Statement: [Region XI, hasCity, Panabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panabo
Context triple: [Region XI, hasCity, Panabo]
  • A. Panabo chosen
    Panabo is a coastal component city in Davao del Norte, Philippines, known for its extensive banana plantations and role in the region’s agricultural economy.
  • B. Wasilla
    Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
  • C. Lake City
    Lake City is a small historic mountain town in Colorado known for its scenic alpine setting, outdoor recreation, and preserved 19th-century character.
  • D. Kudat
    Kudat is a coastal town and district in northern Sabah, Malaysia, known as a gateway to the Tip of Borneo and for its fishing and Rungus cultural heritage.
  • E. Ngawi
    Ngawi is a regency capital and regional town in East Java, Indonesia, known as a transportation hub and gateway between Central and East Java.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a8e0ee88190becab97d2ef1571a completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacf3cb08190a080e5ed1063902f completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.