Triple
T20069537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Quezon |
E499696
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Infanta |
—
|
NE NERFINISHED |
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: Infanta | Statement: [Province of Quezon, hasMunicipality, Infanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Infanta Context triple: [Province of Quezon, hasMunicipality, Infanta]
-
A.
Infanta
Infanta is a small coastal village in the Western Cape of South Africa, known for its tranquil beaches, fishing, and scenic setting near the mouth of the Breede River.
-
B.
Infanta
chosen
Infanta is a coastal municipality in the province of Quezon, Philippines, known as a local commercial hub and gateway to the Pacific seaboard.
-
C.
Infanta of Spain
An Infanta of Spain is a title traditionally given to a daughter (or, in some cases, a granddaughter) of the reigning Spanish monarch who is not the heir to the throne.
-
D.
Princess Ninetta
Princess Ninetta is a fairy-tale royal heroine who appears as one of the enchanted figures in Sergei Prokofiev’s comic opera *The Love for Three Oranges*.
-
E.
Isabelita
Isabelita is the nickname of Isabel Perón, the former president of Argentina and the world's first female president.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:39 p.m.