Triple
T14231847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawi |
E352768
|
entity |
| Predicate | hasConsonantClusterRepresentation |
P23485
|
FINISHED |
| Object | conjunct forms |
—
|
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: conjunct forms | Statement: [Kawi, hasConsonantClusterRepresentation, conjunct forms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsonantClusterRepresentation Context triple: [Kawi, hasConsonantClusterRepresentation, conjunct forms]
-
A.
hasConsonantClustersRepresentation
chosen
Indicates that there is a representation capturing how consonant clusters are structured or realized in a given form or system.
-
B.
hasConsonantClusters
Indicates that the subject contains sequences of two or more consonants occurring together without intervening vowels.
-
C.
hasConsonantClasses
Indicates that an entity (typically a language or phonological system) possesses a defined set or system of consonant classes.
-
D.
hasConsonantSeries
Indicates that one entity contains or exhibits a specific sequence or pattern of consonant sounds associated with another entity.
-
E.
hasConsonantPhonemes
Indicates that an entity possesses or includes one or more consonant phonemes in its phonological system.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622cdd6481908befa179a9675bb5 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.