Triple
T1103171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zero Degree Calorimeters |
E25426
|
entity |
| Predicate | helpsDetermine |
P9157
|
FINISHED |
| Object | impact parameter of heavy-ion collisions |
—
|
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: impact parameter of heavy-ion collisions | Statement: [Zero Degree Calorimeters, helpsDetermine, impact parameter of heavy-ion collisions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsDetermine Context triple: [Zero Degree Calorimeters, helpsDetermine, impact parameter of heavy-ion collisions]
-
A.
helpsIdentify
chosen
Indicates a relationship where one entity serves to distinguish, recognize, or determine the identity or characteristics of another entity.
-
B.
resultDetermination
Indicates the process or criteria by which an outcome, decision, or result is established or concluded from given inputs or conditions.
-
C.
determinedBy
Indicates that one entity’s state, value, or outcome is decided, controlled, or fully specified by another entity.
-
D.
wouldProvide
Indicates that one entity is willing or expected to supply or furnish something to another entity under certain conditions.
-
E.
providesGuidanceTo
Indicates that one entity offers direction, advice, or instruction to another entity.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b7472c848190b0643872f67084a2 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.