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 |
—
|
NE NERFINISHED |
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: Capital Petrolera de Colombia | Statement: [Oil Capital of Colombia, equivalentNicknameInSpanish, Capital Petrolera de Colombia]
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 (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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 6:06 p.m.