Triple
T1261821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UA1 experiment |
E12517
|
entity |
| Predicate | dataTakingMethod |
P8701
|
FINISHED |
| Object | collider experiment |
—
|
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: collider experiment | Statement: [UA1 experiment, dataTakingMethod, collider experiment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTakingMethod Context triple: [UA1 experiment, dataTakingMethod, collider experiment]
-
A.
recordingMethod
Indicates the technique or process used to capture or record something (such as data, audio, or video).
-
B.
observingTechnique
chosen
Indicates the method or procedure used to carry out an observation.
-
C.
trainingMethod
Indicates the specific approach, technique, or procedure used to train an entity (such as a person, model, or system).
-
D.
discoveryMethod
Indicates the process, technique, or approach by which something was found, detected, or identified.
-
E.
dataTypeCollected
Indicates that a specific type or category of data is gathered or recorded in the context of an entity or process.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc64e648190b9c4f980eb8168aa |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.