Triple
T7696511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanunoo |
E174383
|
entity |
| Predicate | consonantNotation |
P16116
|
FINISHED |
| Object | independent consonant characters |
—
|
LITERAL 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: independent consonant characters | Statement: [Hanunoo, consonantNotation, independent consonant characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consonantNotation Context triple: [Hanunoo, consonantNotation, independent consonant characters]
-
A.
hasConsonantSigns
chosen
Indicates that one entity possesses or includes consonant sign characters as part of its representation or structure.
-
B.
usesConsonantInitials
Indicates that an entity’s initials or abbreviated form begin with consonant letters rather than vowels.
-
C.
hasNasalConsonants
Indicates that the subject language or word includes one or more nasal consonant sounds in its phonological inventory or pronunciation.
-
D.
hasConsonantHarmony
Indicates that the entities are related by a pattern where consonants within a linguistic unit adjust to share similar features, creating consonant harmony.
-
E.
hasConsonantManner
Indicates that one sound is related to another by sharing a specific manner of consonant articulation (e.g., stop, fricative, nasal).
- F. None of above.
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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.