Triple
T6071766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sucre Department |
E135298
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Sampués
Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
|
E567453
|
NE FINISHED |
How this triple was built (4 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: Sampués | Statement: [Sucre Department, hasMunicipality, Sampués]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sampués Context triple: [Sucre Department, hasMunicipality, Sampués]
-
A.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
B.
Sospel
Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
-
C.
Bruniales
Bruniales is an order of flowering plants within the asterid clade, comprising mainly woody shrubs and trees such as those in the families Bruniaceae and Columelliaceae.
-
D.
Semprún
Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
-
E.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sampués Triple: [Sucre Department, hasMunicipality, Sampués]
Generated description
Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sampués Target entity description: Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
-
A.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
B.
Sospel
Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
-
C.
Bruniales
Bruniales is an order of flowering plants within the asterid clade, comprising mainly woody shrubs and trees such as those in the families Bruniaceae and Columelliaceae.
-
D.
Semprún
Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
-
E.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
- F. None of above. chosen
Provenance (5 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05758a21c81909cc10ef5f725a489 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d349f288190833384eb9e6c7f52 |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11ec11864819084c31d98133ca53a |
completed | March 23, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11f29842881909acf88a1fa896354 |
completed | March 23, 2026, 11:08 a.m. |
Created at: March 22, 2026, 4:11 p.m.