Triple
T7750157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anserma |
E175735
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object | Anserma |
E175735
|
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: Anserma | Statement: [Anserma, hasMunicipalSeat, Anserma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anserma Context triple: [Anserma, hasMunicipalSeat, Anserma]
-
A.
Anserma
chosen
Anserma is a municipality and town in the Caldas Department of Colombia, known for its coffee production and location in the Andean region.
-
B.
Cloetta
Cloetta is a Swedish confectionery company known for producing a wide range of chocolates, candies, and other sweets for the Nordic and European markets.
-
C.
Agrios
Agrios is a figure from Greek mythology, often appearing as a giant or monstrous being associated with wildness and brutality.
-
D.
Poulus
Poulus is a personal name variant derived from the given name Poul.
-
E.
Averostra
Averostra is a major clade of theropod dinosaurs that includes many of the more derived, often carnivorous lineages such as ceratosaurs and tetanurans.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b13af08190b110104fe96ef91e |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be576274819092e5ebdbcf2361da |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:08 p.m.