Triple

T15350596
Position Surface form Disambiguated ID Type / Status
Subject San Félix E367039 entity
Predicate locatedIn P40 FINISHED
Object Ciudad Guayana E75161 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: Ciudad Guayana | Statement: [San Félix, locatedIn, Ciudad Guayana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciudad Guayana
Context triple: [San Félix, locatedIn, Ciudad Guayana]
  • A. Ciudad Guayana chosen
    Ciudad Guayana is a major industrial city in eastern Venezuela, known for its steel and aluminum production and its strategic location at the confluence of the Orinoco and Caroní rivers.
  • B. Acarigua
    Acarigua is a major commercial and agricultural city in western Venezuela, known as an important center for the surrounding plains region.
  • C. San Cristobal
    San Cristobal is the former name of Makira, a large island in the Solomon Islands known for its rich biodiversity and traditional Melanesian culture.
  • D. Ciudad Bolívar
    Ciudad Bolívar is a historic city in southeastern Venezuela known for its colonial architecture and strategic location on the banks of the Orinoco River.
  • E. Guanare
    Guanare is a city in western Venezuela that serves as the administrative and economic center of Portuguesa State.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01fd53688190939787a3d6ff3bb9 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.