Triple
T23161124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masbateño people |
E578585
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Masbateño |
—
|
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: Masbateño | Statement: [Masbateño people, hasDemonym, Masbateño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masbateño Context triple: [Masbateño people, hasDemonym, Masbateño]
-
A.
Masbateño
chosen
Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
-
B.
Masbate
Masbate is an island province in the central Philippines, known for its cattle ranches, rodeo festivals, and location between Luzon and the Visayas.
-
C.
Bañuela
Bañuela is the highest peak in Spain’s Sierra Morena mountain range, located in the southern part of the Iberian Peninsula.
-
D.
Marinilla
Marinilla is a small Colombian town in the Eastern Antioquia region known for its colonial architecture, religious traditions, and agricultural economy.
-
E.
Balancán
Balancán is a municipality and town in the state of Tabasco, Mexico, known for its proximity to important Maya archaeological sites and its location near the Usumacinta River.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f006930819097aafef87405d737 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.