Triple
T10150265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flandes |
E232615
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Girardot |
E33042
|
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: Girardot | Statement: [Flandes, locatedNear, Girardot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girardot Context triple: [Flandes, locatedNear, Girardot]
-
A.
Girardot
chosen
Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort tourism.
-
B.
Girardota
Girardota is a municipality in the Antioquia Department of Colombia, located in the northern part of the Aburrá Valley metropolitan area near Medellín.
-
C.
Manizales
Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
-
D.
Montería
Montería is a major Colombian city known as the capital of Córdoba Department, recognized for its cattle ranching economy and location along the Sinú River.
-
E.
Cartagena del Chairá
Cartagena del Chairá is a rural municipality in southern Colombia’s Caquetá Department, known for its Amazonian rainforest environment and history of armed conflict presence.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec03e80c81909c813dae91c56272 |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3009992388190ab2a4aee23d0e004 |
completed | April 6, 2026, 12:38 a.m. |
Created at: March 30, 2026, 9:08 p.m.