Triple

T15603909
Position Surface form Disambiguated ID Type / Status
Subject Cocoa, Florida E375104 entity
Predicate hasWaterBody P165 FINISHED
Object Indian River E492832 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: Indian River | Statement: [Cocoa, Florida, hasWaterBody, Indian River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indian River
Context triple: [Cocoa, Florida, hasWaterBody, Indian River]
  • A. Indian River chosen
    Indian River is a lagoon along Florida’s Atlantic coast that forms part of the Indian River Lagoon system, known for its rich biodiversity and estuarine environment.
  • B. Indian River
    Indian River is a smaller Alaskan waterway that serves as a tributary within the Susitna River drainage system.
  • C. Indian River
    Indian River is a smaller waterway in North Carolina that feeds into the Trent River within the Neuse River basin.
  • D. Indian River
    Indian River is a watercourse in Ontario, Canada, that serves as a significant tributary within the local watershed system.
  • E. Indian River
    Indian River is a small waterway in West Newbury, Massachusetts, that contributes to the town’s local watershed and natural landscape.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e6399d88190b2c3e781667666d4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75655c948190aa1afa424e5270d1 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:12 a.m.