Triple
T28938910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTT |
E730391
|
entity |
| Predicate | hasRepeatUnit |
P68671
|
FINISHED |
| Object | CAG |
—
|
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: CAG | Statement: [HTT, hasRepeatUnit, CAG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepeatUnit Context triple: [HTT, hasRepeatUnit, CAG]
-
A.
hasRepetition
Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
-
B.
repeatUnitLength
chosen
Indicates the length or size of a unit that is repeated within a larger pattern, sequence, or structure.
-
C.
hasRepetitionRate
Indicates how frequently an event, action, or pattern recurs within a given context or time frame.
-
D.
hasUnitStructure
Indicates that an entity possesses a specific internal organization or arrangement that defines its structural composition.
-
E.
hasMultipleUnitControl
Indicates that a single controller or agent is able to direct, manage, or operate more than one unit simultaneously.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: April 28, 2026, 8:34 a.m.