Triple
T8079334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marinduque |
E188574
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Boac |
E458915
|
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: Boac | Statement: [Marinduque, capital, Boac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boac Context triple: [Marinduque, capital, Boac]
-
A.
Boac
chosen
Boac is the capital town and main commercial and administrative center of the island province of Marinduque in the Mimaropa region of the Philippines.
-
B.
Guanaja Airport
Guanaja Airport is a small regional airport serving the island of Guanaja in Honduras’ Bay Islands, providing domestic connections and access for tourists and residents.
-
C.
Tamarindo
Tamarindo is a neighborhood within Havana’s Diez de Octubre municipality, known as a densely populated urban residential area in Cuba’s capital.
-
D.
Aguas Buenas
Aguas Buenas is a mountainous municipality in central Puerto Rico known for its cool climate, caves, and scenic rural landscapes.
-
E.
Paipa
Paipa is a Colombian town in the Boyacá Department known for its thermal springs, tourism, and historical significance in the independence era.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f79ac08190af49e77bee67921d |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:28 p.m.