Triple
T14794849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldas |
E347746
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Marquetalia |
E175738
|
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: Marquetalia | Statement: [Caldas, hasMunicipality, Marquetalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marquetalia Context triple: [Caldas, hasMunicipality, Marquetalia]
-
A.
Marquetalia
chosen
Marquetalia is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing economy in the Andean region.
-
B.
Modautal
Modautal is a small municipality in the state of Hesse in central Germany, situated in a rural, hilly area south of Darmstadt.
-
C.
Turrubares
Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
-
D.
Moratalaz
Moratalaz is a residential district in the east of Madrid, Spain, known for its grid-like urban layout and numerous parks and green spaces.
-
E.
Raguil
Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24bea4408190975f4856cc02580e |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.