Triple
T22692949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIREFISH |
E561096
|
entity |
| Predicate | hasInterventionModel |
P149317
|
FINISHED |
| Object | single-group assignment |
—
|
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: single-group assignment | Statement: [FIREFISH, hasInterventionModel, single-group assignment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterventionModel Context triple: [FIREFISH, hasInterventionModel, single-group assignment]
-
A.
hasInstructionModel
Indicates that one entity is associated with, or utilizes, a specific instruction-oriented model to guide its behavior or processing.
-
B.
usesIntervention
Indicates that one entity applies, employs, or relies on a specific intervention (such as a treatment, method, or strategy) in relation to another entity or context.
-
C.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
D.
intervenesWhen
Indicates that one entity takes action to interrupt, mediate, or alter the course of another entity’s ongoing situation or process when certain conditions arise.
-
E.
hasInteractionMode
Indicates the way in which two entities engage or interact with each other, specifying the manner, channel, or pattern of their interaction.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:13 p.m.