Triple
T19720780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rizal |
E473601
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Binangonan |
—
|
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: Binangonan | Statement: [Rizal, hasMunicipality, Binangonan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binangonan Context triple: [Rizal, hasMunicipality, Binangonan]
-
A.
Binangonan
chosen
Binangonan is a lakeside municipality in the province of Rizal, Philippines, known for its fishing communities, scenic views, and proximity to Metro Manila.
-
B.
Bungsuan
Bungsuan is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
C.
Binantayanon
Binantayanon is an Austronesian language variety spoken on Bantayan Island in the Philippines, closely related to Cebuano and other Visayan languages.
-
D.
Babatngon
Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
-
E.
Binalonan
Binalonan is a municipality in the province of Pangasinan, Philippines, known for its agricultural economy and location along major regional transport routes.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:46 p.m.