Triple

T11437607
Position Surface form Disambiguated ID Type / Status
Subject Putumayo E271049 entity
Predicate hasCity P316 FINISHED
Object Puerto Guzmán E727846 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: Puerto Guzmán | Statement: [Putumayo, hasCity, Puerto Guzmán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Guzmán
Context triple: [Putumayo, hasCity, Puerto Guzmán]
  • A. Puerto Guzmán chosen
    Puerto Guzmán is a Colombian town and municipality known as one of the main population centers in the Amazonian region of the Putumayo Department.
  • B. Puerto La Victoria
    Puerto La Victoria is a riverside town in Paraguay situated along the Paraguay River, serving as a local hub for transport and river-based commerce.
  • C. San Carlos Port
    San Carlos Port is a key seaport and transport hub in San Carlos City, Negros Occidental, Philippines, facilitating passenger and cargo movement to neighboring islands.
  • D. Puerto Díaz
    Puerto Díaz is a small lakeside settlement in Nicaragua located near Zapatera Island in Lake Nicaragua.
  • E. Puerto Asís
    Puerto Asís is a major town and river port in southern Colombia, known as one of the principal commercial and transportation hubs of the Putumayo region near the border with Ecuador.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8ed579c8190b1ddc1dce20d9617 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:35 p.m.