Triple

T10063220
Position Surface form Disambiguated ID Type / Status
Subject Huasteca Potosina E213036 entity
Predicate containsTown P847 FINISHED
Object Tamasopo E757180 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: Tamasopo | Statement: [Huasteca Potosina, containsTown, Tamasopo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamasopo
Context triple: [Huasteca Potosina, containsTown, Tamasopo]
  • A. Tamasopo chosen
    Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
  • B. Tanasitolo
    Tanasitolo is a village-level settlement located within Wajo Regency in South Sulawesi, Indonesia.
  • C. Tiwatope
    Tiwatope is the birth name of Tiwa Savage, a prominent Nigerian singer, songwriter, and actress known as the "Queen of Afrobeats."
  • D. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • E. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b630ca008190a337660ad8c9d57e completed April 5, 2026, 7:21 p.m.
Created at: March 30, 2026, 8:58 p.m.