Triple
T14502339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albay |
E340173
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Daraga |
E430673
|
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: Daraga | Statement: [Albay, hasMunicipality, Daraga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daraga Context triple: [Albay, hasMunicipality, Daraga]
-
A.
Daraga
chosen
Daraga is a municipality in Albay province in the Philippines, known as a gateway town to the iconic Mayon Volcano and home to the historic Daraga Church.
-
B.
Umiray Agta
Umiray Agta is an indigenous Negrito group in the Philippines known for its distinct culture and language, closely related to the Umiray Dumaget language.
-
C.
Dupax Isinay
Dupax Isinay is a regional dialect of the Isinay language traditionally spoken in the Dupax area of Nueva Vizcaya in the northern Philippines.
-
D.
Maganlal
Maganlal is an Indian given name commonly used for men, particularly in Gujarati-speaking communities.
-
E.
Barabaig
Barabaig are a pastoralist ethnic subgroup of the Datooga people of north-central Tanzania, known for their cattle herding and distinct cultural traditions.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9b6f7481908b7eb76226a93545 |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.