Triple
T27288682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daitokuin |
E688552
|
entity |
| Predicate | hasRemainingStructures |
P191563
|
FINISHED |
| Object | gate |
—
|
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: gate | Statement: [Daitokuin, hasRemainingStructures, gate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemainingStructures Context triple: [Daitokuin, hasRemainingStructures, gate]
-
A.
hasStructureRemnant
chosen
Indicates that an entity contains or includes a remaining part or leftover portion of a former structure.
-
B.
remainingStructuresUsedFor
Indicates that the remaining structures of an entity are utilized for a specified purpose or function.
-
C.
hasStructureCount
Indicates the number of structures associated with or contained by a given entity.
-
D.
haveStructure
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
E.
hasTurnStructure
Indicates that an interaction, game, or process is organized into discrete turns that participants take in a defined order.
- 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: April 27, 2026, 11:13 a.m.