Triple

T12407647
Position Surface form Disambiguated ID Type / Status
Subject Bonita Springs E296427 entity
Predicate locatedNear P294 FINISHED
Object Estero E368060 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: Estero | Statement: [Bonita Springs, locatedNear, Estero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estero
Context triple: [Bonita Springs, locatedNear, Estero]
  • A. Estero chosen
    Estero is a village in Southwest Florida known for its residential communities, shopping centers, and proximity to the Gulf Coast.
  • B. Estero de Paco
    Estero de Paco is a historic urban waterway in Manila, Philippines, that forms part of the city’s interconnected system of esteros and canals.
  • C. Estero de Limantour
    Estero de Limantour is a coastal estuary in California known for its rich wildlife habitat and scenic wetlands within the Point Reyes National Seashore.
  • D. Boca River
    The Boca River is a small mountain stream in the Sierra Nevada of California that feeds into the Truckee River and is associated with the Boca Reservoir recreation area.
  • E. Arecibo River
    The Arecibo River is a major river in Puerto Rico that flows through the municipality of Arecibo before emptying into the Atlantic Ocean.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4a08e0819085c656e35038e6b2 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63488cac08190a81b2151c827932e completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.