Triple
T1529118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Nagari script |
E32400
|
entity |
| Predicate | hasInherentVowel |
P16118
|
FINISHED |
| Object | /ɔ/ |
—
|
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: /ɔ/ | Statement: [Eastern Nagari script, hasInherentVowel, /ɔ/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInherentVowel Context triple: [Eastern Nagari script, hasInherentVowel, /ɔ/]
-
A.
hasVowelFeature
Indicates that an entity possesses a specific vowel-related phonological or articulatory feature.
-
B.
defaultInherentVowel
chosen
Indicates that a writing system or script implicitly includes a specific vowel sound in a consonant symbol unless it is explicitly modified or suppressed.
-
C.
hasDependentVowels
Indicates that a writing system or script uses vowel signs that are attached to or depend on consonant characters rather than standing alone as independent letters.
-
D.
hasIndependentVowelLetters
Indicates that a writing system includes separate, standalone vowel characters rather than representing vowels only through modifications of consonant letters.
-
E.
hasVowelSystem
Indicates that an entity possesses a particular system or pattern of vowel sounds (a structured set of vowel phonemes or contrasts).
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.