Triple

T15426037
Position Surface form Disambiguated ID Type / Status
Subject City of Madison E369510 entity
Predicate hasSisterCity P919 FINISHED
Object Ainaro E647642 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: Ainaro | Statement: [City of Madison, hasSisterCity, Ainaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ainaro
Context triple: [City of Madison, hasSisterCity, Ainaro]
  • A. Ainaro chosen
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • B. Elara
    Elara is a small, irregular outer moon of Jupiter, classified among its retrograde, non-spherical satellites.
  • C. Isaura Nea
    Isaura Nea was an ancient city that served as the principal urban and administrative center of the historical region of Isauria in Asia Minor.
  • D. Almirena
    Almirena is a central soprano role in George Frideric Handel’s opera "Rinaldo," portrayed as the virtuous and beloved daughter of the Christian leader Goffredo.
  • E. Melibea
    Melibea is the noble young woman in the Spanish tragicomedy "La Celestina," whose passionate and ill-fated love affair with Calisto drives the work’s central drama.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec1fb288190a3625b8e4f487dd1 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8099448190be71f7b649c7e545 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.