Triple

T19057693
Position Surface form Disambiguated ID Type / Status
Subject Tablas Island E466441 entity
Predicate hasMunicipality P847 FINISHED
Object San Andres NE NERFINISHED

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: San Andres | Statement: [Tablas Island, hasMunicipality, San Andres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Andres
Context triple: [Tablas Island, hasMunicipality, San Andres]
  • A. San Andres
    San Andres is a coastal municipality in the island province of Catanduanes in the Philippines, known for its rural communities and access to Pacific shorelines.
  • B. San Andres
    San Andres is a district in Manila, Philippines, known as a densely populated residential and commercial area within the city.
  • C. San Andres chosen
    San Andres is a coastal municipality in the province of Romblon in the Philippines, known for its island scenery and rural communities.
  • D. San Andrés
    San Andrés is a lakeside town in Guatemala situated on the shores of Lake Petén Itzá, known for its proximity to Mayan archaeological sites and natural attractions.
  • E. San Andrés y Providencia
    San Andrés y Providencia is a Colombian archipelago department in the Caribbean Sea, known for its coral reefs, tourism, and geographically remote location from mainland Colombia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc0742288190a594be859184841a completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.