Triple

T14794892
Position Surface form Disambiguated ID Type / Status
Subject Quindío E347747 entity
Predicate hasMunicipality P847 FINISHED
Object La Tebaida E803054 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: La Tebaida | Statement: [Quindío, hasMunicipality, La Tebaida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Tebaida
Context triple: [Quindío, hasMunicipality, La Tebaida]
  • A. La Tebaida chosen
    La Tebaida is a municipality in Colombia’s coffee-growing region, known for its agricultural economy and proximity to major tourist attractions in the Quindío Department.
  • B. Bir el Gubi
    Bir el Gubi was a strategically important desert battlefield in Libya during World War II, known for significant clashes between British Commonwealth and Italian-German forces.
  • C. Tisean
    Tisean is one of the four close friends in the 1996 crime film "Set It Off," whose personal struggles and loyalty drive much of the movie’s emotional core.
  • D. Kashta
    Kashta was a Kushite king of Nubia in the 8th century BCE who began the expansion into Egypt that his successors, including Shabaka, would complete.
  • E. The Wamses
    The Wamses is one of the small, rocky islets in England’s Farne Islands archipelago, known primarily as a remote seabird and marine wildlife habitat.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5fdd548190a2ee5e668c2b20b4 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bea4408190975f4856cc02580e completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.