Triple
T38316123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proto-Tai |
E1033829
|
entity |
| Predicate | hasReconstructionBasis |
P204600
|
FINISHED |
| Object | modern Tai languages |
—
|
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: modern Tai languages | Statement: [Proto-Tai, hasReconstructionBasis, modern Tai languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructionBasis Context triple: [Proto-Tai, hasReconstructionBasis, modern Tai languages]
-
A.
hasReconstructionFeature
Indicates that something possesses a characteristic, component, or attribute specifically related to reconstruction.
-
B.
hasReconstructionSupportFrom
Indicates that one entity’s reconstruction (e.g., of an object, structure, or dataset) is backed, justified, or enabled by evidence, resources, or assistance provided by another entity.
-
C.
hasReconstructionDomain
Indicates that something is associated with or defined over a particular domain used for reconstruction (e.g., in analysis, modeling, or signal/image reconstruction).
-
D.
hasReconstructionType
Indicates the specific method or category of reconstruction applied to an object, structure, or dataset.
-
E.
hasReconstructionTarget
Indicates that something is intended to be reconstructed into, or restored to, a specified target state, form, or object.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.