Triple
T7073067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godwari |
E164746
|
entity |
| Predicate | morphologicalFeatures |
P31789
|
FINISHED |
| Object | shares features with Rajasthani morphology |
—
|
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: shares features with Rajasthani morphology | Statement: [Godwari, morphologicalFeatures, shares features with Rajasthani morphology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: morphologicalFeatures Context triple: [Godwari, morphologicalFeatures, shares features with Rajasthani morphology]
-
A.
relatedMorphologicalFeature
chosen
Indicates that one entity is connected to another through a shared or corresponding morphological feature or structure.
-
B.
morphologicalClass
Indicates the classification of an entity based on its morphological form or structural pattern.
-
C.
notableMorphology
Indicates that an entity is characterized by a distinctive or noteworthy physical form, structure, or shape.
-
D.
linguisticFeature
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
-
E.
metricalFeature
Indicates a relationship where one entity specifies or characterizes a metrical property or pattern of 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4cb76548190bd98876f8ba925b7 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:39 p.m.