Triple
T10489606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabu |
E247379
|
entity |
| Predicate | hasLexicalData |
P50225
|
FINISHED |
| Object | limited wordlists |
—
|
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: limited wordlists | Statement: [Sabu, hasLexicalData, limited wordlists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLexicalData Context triple: [Sabu, hasLexicalData, limited wordlists]
-
A.
hasLinguisticDataType
chosen
Indicates that something is associated with or characterized by a specific type or category of linguistic data.
-
B.
hasLinguisticElement
Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
-
C.
hasLexicalReconstructionDomain
Indicates that something belongs to or is associated with a particular domain or scope within which its lexical reconstruction is defined or applicable.
-
D.
hasLinguisticFeature
Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
-
E.
hasLexicalReconstruction
Indicates that there exists a hypothesized or reconstructed lexical form corresponding to a word or expression, typically inferred for an earlier or unattested stage of a language.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ca5c081908b47a08ca7885650 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:23 p.m.