Triple
T12504873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quirino |
E298921
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Cabarroguis |
E986720
|
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: Cabarroguis | Statement: [Quirino, hasMunicipality, Cabarroguis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabarroguis Context triple: [Quirino, hasMunicipality, Cabarroguis]
-
A.
Cabarroguis
chosen
Cabarroguis is a municipality in the Philippines that serves as the administrative and political center of the province of Quirino.
-
B.
Puerto Casado
Puerto Casado is a small river port town in northern Paraguay known historically for its tannin industry and its strategic location on the Paraguay River.
-
C.
Agoncillo
Agoncillo is a lakeside municipality in the Philippine province of Batangas known for its proximity to Taal Lake and Taal Volcano.
-
D.
Puerto Galván
Puerto Galván is a port locality within the Bahía Blanca area of Buenos Aires Province, Argentina, known for its industrial and maritime activities.
-
E.
Puerto Toro
Puerto Toro is a tiny Chilean fishing hamlet on Navarino Island, notable as one of the southernmost permanent settlements in the world.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfddf38819099263b8b1e804736 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6557243788190854208113600324e |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.