Triple
T26162062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibara Municipality |
E654137
|
entity |
| Predicate | hasColonialTown |
P193523
|
FINISHED |
| Object | Gibara |
—
|
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: Gibara | Statement: [Gibara Municipality, hasColonialTown, Gibara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColonialTown Context triple: [Gibara Municipality, hasColonialTown, Gibara]
-
A.
hasColonialCity
Indicates that an entity possesses or includes a city that was established or significantly developed during a period of colonial rule.
-
B.
hasColonialCenter
Indicates that one entity serves as the colonial administrative or control center for another entity.
-
C.
hasColonialCapitalNearby
Indicates that an entity is located close to a city that served as a colonial capital.
-
D.
hasColonialForm
Indicates that one entity possesses or exhibits a colonial form or structure in relation to another.
-
E.
hasColonialInfrastructure
Indicates that one entity possesses or is characterized by infrastructure established or developed during a period of colonial rule by another entity.
- F. None of above. chosen
Provenance (4 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: April 26, 2026, 8:30 p.m.