Triple
T16049479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanunóo script |
E389314
|
entity |
| Predicate | UnicodeBlock |
P1445
|
FINISHED |
| Object | Hanunoo |
E174383
|
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: Hanunoo | Statement: [Hanunóo script, UnicodeBlock, Hanunoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanunoo Context triple: [Hanunóo script, UnicodeBlock, Hanunoo]
-
A.
Hanunoo
chosen
Hanunoo is an indigenous Philippine script traditionally used by the Hanunó'o Mangyan people of Mindoro to write their Austronesian language.
-
B.
Hinunangan
Hinunangan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its beaches and nearby island attractions.
-
C.
Pangarang
Pangarang is an alternative name for the Bangerang, an Aboriginal Australian people traditionally associated with regions of northern Victoria and southern New South Wales.
-
D.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
-
E.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18361083c8190abc84534265dc992 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe095908190ba10399ad6f3b5f8 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.