Triple
T18755010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber |
E458626
|
entity |
| Predicate | hasLexicalCategoryOfOrigin |
P133417
|
FINISHED |
| Object | common noun |
—
|
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: common noun | Statement: [Amber, hasLexicalCategoryOfOrigin, common noun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLexicalCategoryOfOrigin Context triple: [Amber, hasLexicalCategoryOfOrigin, common noun]
-
A.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
-
B.
hasLinguisticClassificationSource
Indicates the source or reference from which a linguistic classification has been derived or documented.
-
C.
hasLexicalInfluenceOn
Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
-
D.
derivedFromLexeme
Indicates that one linguistic form or expression originates from, or is morphologically or semantically based on, a particular lexeme.
-
E.
hasLexicalReconstructionDomain
Indicates that something belongs to or is associated with a particular domain or scope within which its lexical reconstruction is defined or applicable.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.