Triple
T1096161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEP |
E24275
|
entity |
| Predicate | scientificContribution |
P477
|
FINISHED |
| Object | precision determination of Z boson mass |
—
|
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: precision determination of Z boson mass | Statement: [LEP, scientificContribution, precision determination of Z boson mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scientificContribution Context triple: [LEP, scientificContribution, precision determination of Z boson mass]
-
A.
researchContribution
Indicates that an entity has produced or participated in creating new knowledge, findings, or innovations within a research context.
-
B.
notableContribution
chosen
Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
-
C.
notableContributionField
Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
-
D.
researchOutcome
Indicates that an action, study, or investigation produces a specific result, finding, or conclusion.
-
E.
scopeOfContribution
Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.