Triple
T14794856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldas |
E347746
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Aranzazu |
E175737
|
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: Aranzazu | Statement: [Caldas, hasMunicipality, Aranzazu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aranzazu Context triple: [Caldas, hasMunicipality, Aranzazu]
-
A.
Aranzazu
chosen
Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
-
B.
Aramburu
Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
-
C.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
D.
Gorre
Gorre is a legendary kingdom in Arthurian romance, often depicted as a distant or otherworldly realm associated with King Uriens and various chivalric adventures.
-
E.
Aragunnu
Aragunnu is a coastal area within Mimosa Rocks National Park in New South Wales, Australia, known for its scenic beaches, rocky headlands, and Aboriginal cultural sites.
- 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.