Triple
T6010167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compact Linear Collider |
E133810
|
entity |
| Predicate | luminosityGoal |
P5343
|
FINISHED |
| Object | of order 10^34 cm^-2 s^-1 |
—
|
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: of order 10^34 cm^-2 s^-1 | Statement: [Compact Linear Collider, luminosityGoal, of order 10^34 cm^-2 s^-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: luminosityGoal Context triple: [Compact Linear Collider, luminosityGoal, of order 10^34 cm^-2 s^-1]
-
A.
designLuminosity
chosen
Indicates the specified luminosity level or brightness characteristics that something is designed or intended to have.
-
B.
luminosityIncreaseFactor
Indicates the proportional factor by which an entity’s luminosity has increased relative to a reference or initial state.
-
C.
integratedLuminosityTarget
Indicates the intended total accumulated luminosity to be achieved over a specified period or dataset in an experiment or observation.
-
D.
luminosity_W
Indicates the luminosity of an object measured in watts, representing the total power it emits as electromagnetic radiation.
-
E.
luminosityRelativeToSun
Indicates how bright an object is compared to the Sun, expressed as a ratio of their luminosities.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4ffa008190a8ef701b82260219 |
completed | March 22, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.