Triple

T17222348
Position Surface form Disambiguated ID Type / Status
Subject Third District of Nueva Ecija E418016 entity
Predicate hasPart P35 FINISHED
Object Laur E413960 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: Laur | Statement: [Third District of Nueva Ecija, hasPart, Laur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laur
Context triple: [Third District of Nueva Ecija, hasPart, Laur]
  • A. Laur chosen
    Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
  • B. Laurin
    Laurin is a Scottish surname historically linked to Clan MacLaren, a Highland clan from the central Scottish Highlands.
  • C. Lauri
    Lauri is a Finnish given name commonly used for men, notably borne by former President of Finland Lauri Kristian Relander.
  • D. Laure
    Laure is a feminine given name, primarily used in French-speaking countries, that is a variant of the name Laura.
  • E. Laurie
    Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddf2c3c8190b6adceaaefd4ccbf completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0167596ab481909df59ce68c7f640e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.