Triple
T15722710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagay |
E381139
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Bato |
E1110200
|
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: Bato | Statement: [Sagay, hasBarangay, Bato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bato Context triple: [Sagay, hasBarangay, Bato]
-
A.
Bato
chosen
Bato is a coastal municipality on the island province of Catanduanes in the Bicol Region of the Philippines, known for its rural landscapes and proximity to the Pacific Ocean.
-
B.
Baatonun
Baatonun is a Gur language spoken primarily by the Bariba (Baatombu) people in parts of Benin and neighboring West African regions.
-
C.
Bangu
Bangu is a working-class neighborhood in the West Zone of Rio de Janeiro, Brazil, known for its hot climate, historic textile industry, and the Bangu Atlético Clube football team.
-
D.
Nakamaro
Nakamaro is a Japanese given name historically associated with figures such as the Nara-period court noble and poet Ōtomo no Yakamochi’s contemporary, Fujiwara no Nakamaro.
-
E.
Balete
Balete is a municipality in the province of Aklan in the Philippines, known for its rural communities and agricultural landscape.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f68bf881909e5ad8a6ab81684a |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:45 a.m.