Triple
T30663841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rougarou |
E780603
|
entity |
| Predicate | conversionFromStandUpToFloorless |
P178620
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Rougarou, conversionFromStandUpToFloorless, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionFromStandUpToFloorless Context triple: [Rougarou, conversionFromStandUpToFloorless, 2015]
-
A.
conversionToFloorless
Indicates a transformation process in which something is changed into a version or state that no longer has a floor.
-
B.
hasLowerFloor
Indicates that one location, structure, or level includes or is directly connected to a floor situated below another floor.
-
C.
floorStart
Indicates the floor or level at which something begins or is initiated.
-
D.
hasGlassFloor
Indicates that one entity possesses or features a floor made of glass.
-
E.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 29, 2026, 8:31 p.m.