Triple

T27844733

Position	Surface form	Disambiguated ID	Type / Status
Subject	Oil Capital of Colombia	`E703786`	entity
Predicate	equivalentNicknameInSpanish	`P16980`	FINISHED
Object	Capital Petrolera de Colombia Capital Petrolera de Colombia es el apodo con el que se conoce a la ciudad colombiana de Barrancabermeja por su histórica importancia en la industria petrolera del país.	`E1792300`	NE FINISHED

How this triple was built (3 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: Capital Petrolera de Colombia | Statement: [Oil Capital of Colombia, equivalentNicknameInSpanish, Capital Petrolera de Colombia]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Capital Petrolera de Colombia
Triple: [Oil Capital of Colombia, equivalentNicknameInSpanish, Capital Petrolera de Colombia]

Generated description

Capital Petrolera de Colombia es el apodo con el que se conoce a la ciudad colombiana de Barrancabermeja por su histórica importancia en la industria petrolera del país.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: equivalentNicknameInSpanish
Context triple: [Oil Capital of Colombia, equivalentNicknameInSpanish, Capital Petrolera de Colombia]

A. hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
B. equivalentGivenNameInEnglish
Indicates that two given names are equivalent in meaning or usage when expressed in English.
C. equivalentEpithetInNahuatl
Indicates that one entity’s epithet has an equivalent or corresponding epithet expressed in the Nahuatl language.
D. translationOfNickname chosen
Indicates that one name is a translated form of another name that functions as a nickname.
E. isEquivalentSurnameInSpanish
Indicates that two surnames are considered equivalent when translated to or used in Spanish, even if their spellings or forms differ.
F. None of above.

Provenance (6 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_69ef840d9e3c819093615ebff4ec22be`	completed	April 27, 2026, 3:43 p.m.
NER	Named-entity recognition	`batch_69f6645ba71c81908044ade6ab577018`	completed	May 2, 2026, 8:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12f7378fd88190a91c125c9998ff0c`	completed	May 24, 2026, 1:03 p.m.
NEDg	Description generation	`batch_6a12f7ba8f048190ac484434da112aeb`	completed	May 24, 2026, 1:06 p.m.
NED2	Entity disambiguation (via description)	`batch_6a12fb5822408190812399cb2a623e74`	completed	May 24, 2026, 1:21 p.m.
PD	Predicate disambiguation	`batch_69f663362c008190a22afed262f1e426`	completed	May 2, 2026, 8:48 p.m.

Created at: April 27, 2026, 6:06 p.m.