Triple
T18683038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darangen |
E456782
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Maranao language |
—
|
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: Maranao language | Statement: [Darangen, language, Maranao language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maranao language Context triple: [Darangen, language, Maranao language]
-
A.
Maranao language
chosen
The Maranao language is an Austronesian language spoken primarily by the Maranao people around Lake Lanao in Mindanao, Philippines.
-
B.
Bontoc language
The Bontoc language is an Austronesian language spoken by the Bontoc people of the Mountain Province in the northern Philippines.
-
C.
Maguindanaon language
The Maguindanaon language is an Austronesian language spoken primarily by the Maguindanaon people in the Mindanao region of the southern Philippines.
-
D.
Yakan language
The Yakan language is an Austronesian language spoken primarily by the Yakan people of the Sulu Archipelago and nearby areas in the southern Philippines.
-
E.
Aborlan Tagbanwa language
The Aborlan Tagbanwa language is an Austronesian language spoken by the Tagbanwa people of Palawan in the Philippines.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2abf3c8190958c03066b5814af |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.