Triple

T7455437
Position Surface form Disambiguated ID Type / Status
Subject Puerto López E172109 entity
Predicate roadConnectionTo P9041 FINISHED
Object Villavicencio E170741 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: Villavicencio | Statement: [Puerto López, roadConnectionTo, Villavicencio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villavicencio
Context triple: [Puerto López, roadConnectionTo, Villavicencio]
  • A. Villavicencio chosen
    Villavicencio is a major Colombian city located at the foothills of the Andes, known as a gateway to the Llanos (eastern plains) region.
  • B. Yopal
    Yopal is a city in eastern Colombia that serves as the main urban and economic center of the Llanos (plains) region in the Casanare Department.
  • C. San José del Guaviare
    San José del Guaviare is a Colombian town and municipality known as a gateway to the Amazon, featuring jungle landscapes, rivers, and nearby rock formations and ancient rock art.
  • D. Bucaramanga
    Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
  • E. Barrancabermeja
    Barrancabermeja is a Colombian city known as a major oil refining and petrochemical center located along the Magdalena River.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3af58dc819093fb0482482779a3 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827c39a848190bc275468362ce3bc completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:15 p.m.