Triple

T17078936
Position Surface form Disambiguated ID Type / Status
Subject Chief Sanitary Officer of the Panama Canal Zone E414419 entity
Predicate locationOfWork P1527 FINISHED
Object Colón E14841 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: Colón | Statement: [Chief Sanitary Officer of the Panama Canal Zone, locationOfWork, Colón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colón
Context triple: [Chief Sanitary Officer of the Panama Canal Zone, locationOfWork, Colón]
  • A. Colón chosen
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • B. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • C. Colón
    Colón is a small municipality located in Colombia's southern Amazonian region within the Putumayo Department.
  • D. Colón
    Colón is a Spanish-origin surname commonly found in Hispanic communities and notably borne by figures such as comic book artist Ernie Colón.
  • E. Colón
    Colón is a city in northeastern Honduras known as a regional hub near the Caribbean coast and the Bay Islands.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe0e9cc8190b6c4b6065b474d1d completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee243c081909aa6d470e002222a completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.