Triple
T14990880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDF |
E373830
|
entity |
| Predicate | dataRecorded |
P9348
|
FINISHED |
| Object | several inverse femtobarns of integrated luminosity |
—
|
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: several inverse femtobarns of integrated luminosity | Statement: [CDF, dataRecorded, several inverse femtobarns of integrated luminosity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataRecorded Context triple: [CDF, dataRecorded, several inverse femtobarns of integrated luminosity]
-
A.
recorded
chosen
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
B.
recordingOf
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
-
C.
timeRecorded
Indicates that a specific point or period in time has been captured and stored as associated with an event, action, or state.
-
D.
recordedWith
Indicates that something was captured, documented, or produced using a particular tool, device, medium, or method.
-
E.
recordedFor
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:53 a.m.