Triple
T18755021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber |
E458626
|
entity |
| Predicate | hasFinalSound |
P124232
|
FINISHED |
| Object | /ər/ in General American |
—
|
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: /ər/ in General American | Statement: [Amber, hasFinalSound, /ər/ in General American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFinalSound Context triple: [Amber, hasFinalSound, /ər/ in General American]
-
A.
hasFinalSyllable
Indicates that one entity possesses or ends with a specific final syllable represented by the other entity.
-
B.
usesFinalConsonants
Indicates that an entity employs or contains consonant sounds in final position, such as at the end of a word, syllable, or phonological unit.
-
C.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
D.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
E.
containsSound
chosen
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.