Triple
T10897204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarangani |
E257340
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Maasim |
E288640
|
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: Maasim | Statement: [Sarangani, hasMunicipality, Maasim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maasim Context triple: [Sarangani, hasMunicipality, Maasim]
-
A.
Maasim
chosen
Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
-
B.
Maasi
Maasi is a late-winter month in the traditional Tamil calendar, typically corresponding to February–March in the Gregorian calendar and associated with various Hindu religious observances.
-
C.
Marau
Marau is an Oceanic language spoken by a small community in Papua New Guinea.
-
D.
Massim
Massim is a cultural region of island societies in eastern Papua New Guinea known for intricate woodcarving, shell valuables, and the ceremonial Kula exchange system.
-
E.
Maaskant
Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d02e4c88190b8286078e90bf913 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216b417bc8190b35477e9d363a289 |
completed | April 17, 2026, 11:17 a.m. |
Created at: April 8, 2026, 9:21 p.m.