Triple
T7730560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konda-Dora |
E175237
|
entity |
| Predicate | isPrimarilyOral |
P78839
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Konda-Dora, isPrimarilyOral, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimarilyOral Context triple: [Konda-Dora, isPrimarilyOral, true]
-
A.
hasOralDiscFunction
Indicates that an entity possesses a specific functional role or capability associated with its oral disc.
-
B.
hasTypeOfMouth
Indicates that an entity possesses a mouth characterized by a specific type or form.
-
C.
fromMouth
Indicates that something originates from or is emitted out of a mouth.
-
D.
mouthOf
Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
-
E.
requiresOralInterpretation
Indicates that one entity needs spoken language interpretation services to understand or communicate information from another entity.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:06 p.m.