Triple
T29136326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrecker |
E738519
|
entity |
| Predicate | cloneDesignation |
P166357
|
FINISHED |
| Object | CT-9904 |
—
|
NE NERFINISHED |
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: CT-9904 | Statement: [Wrecker, cloneDesignation, CT-9904]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cloneDesignation Context triple: [Wrecker, cloneDesignation, CT-9904]
-
A.
mountDesignation
Indicates that one entity is designated or assigned as the mount (e.g., riding or support animal/vehicle) for another entity.
-
B.
prototypeDesignation
Indicates that one entity is designated or identified as a prototype version or exemplar of another entity.
-
C.
alternateDesignation
Indicates that one entity serves as an alternative name, label, or identifier for another entity.
-
D.
collectionDesignation
Indicates that one entity assigns or specifies a particular collection label or designation for another entity.
-
E.
bdDesignation
Indicates that one entity is formally assigned or designated as having a particular role, status, or classification in relation to 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6626ac7508190959be92ac34c33ac |
completed | May 2, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 11:34 a.m.