Triple
T192539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOTEM |
E3750
|
entity |
| Predicate | tests |
P5348
|
FINISHED |
| Object | predictions of Regge theory |
—
|
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: predictions of Regge theory | Statement: [TOTEM, tests, predictions of Regge theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tests Context triple: [TOTEM, tests, predictions of Regge theory]
-
A.
commonTest
Indicates that two or more entities share the same test, testing procedure, or evaluation in common.
-
B.
bats
Indicates that one entity hits or strikes another entity, typically using a bat or similar implement.
-
C.
passes
Indicates that one entity successfully transfers, hands over, or moves something (such as an object, message, or responsibility) to another entity.
-
D.
commands
Indicates that one entity holds authority over another and issues directives or orders that the other is expected to follow.
-
E.
training
Indicates that one entity is teaching, coaching, or otherwise helping another entity acquire or improve a skill, behavior, or capability.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25710bdfc81909b6697159104cf53 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.