Triple
T20109809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Haida |
E490296
|
entity |
| Predicate | hasReconstructedMorphology |
P112583
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Proto-Haida, hasReconstructedMorphology, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructedMorphology Context triple: [Proto-Haida, hasReconstructedMorphology, yes]
-
A.
hasReconstructedFeatures
Indicates that certain features of an entity have been rebuilt, restored, or inferred from incomplete or damaged original data.
-
B.
hasMorphologicalState
chosen
Indicates that an entity possesses or is characterized by a particular morphological condition, form, or structural state.
-
C.
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.
-
D.
hasAnimatedReconstruction
Indicates that an entity is associated with an animated reconstruction depicting it or one of its states or events.
-
E.
hasReconstructedLevel
Indicates that an entity is associated with a version or state that has been rebuilt, restored, or reconstructed from an earlier or incomplete form.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666df1b148190a28ead2f7cce7aab |
completed | April 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:28 p.m.