Triple

T11592960
Position Surface form Disambiguated ID Type / Status
Subject Toa Baja E274929 entity
Predicate hasBarrio P4813 FINISHED
Object Palo Seco E289862 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: Palo Seco | Statement: [Toa Baja, hasBarrio, Palo Seco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palo Seco
Context triple: [Toa Baja, hasBarrio, Palo Seco]
  • A. Palo Seco chosen
    Palo Seco is a coastal barrio of the municipality of Toa Baja in Puerto Rico, known for its small residential community and proximity to San Juan Bay.
  • B. Río Seco
    Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
  • C. Palo Cedro
    Palo Cedro is a small unincorporated community in Northern California known for its rural character and proximity to the city of Redding.
  • D. Rio Fuerte
    Rio Fuerte is a major river in northwestern Mexico that carves through the Sierra Madre Occidental and helps form the dramatic landscapes of the Copper Canyon region.
  • E. Pedernales
    Pedernales is a coastal town in northwestern Ecuador known for its beaches and fishing activities.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7146fdd8c8190a54f3290e155e900 completed April 21, 2026, 6:08 a.m.
Created at: April 8, 2026, 9:38 p.m.