Triple
T401447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FASER |
E9291
|
entity |
| Predicate | physicsGoal |
P6636
|
FINISHED |
| Object | search for dark sector particles |
—
|
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: search for dark sector particles | Statement: [FASER, physicsGoal, search for dark sector particles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicsGoal Context triple: [FASER, physicsGoal, search for dark sector particles]
-
A.
scienceGoals
Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
-
B.
goals
chosen
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
C.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
D.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
-
E.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec9f77888190bcc2bc68d201ed35 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.