Triple
T1096138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEP |
E24275
|
entity |
| Predicate | builtInTunnel |
P21069
|
FINISHED |
| Object | LHC tunnel |
—
|
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: LHC tunnel | Statement: [LEP, builtInTunnel, LHC tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtInTunnel Context triple: [LEP, builtInTunnel, LHC tunnel]
-
A.
usesTunnel
Indicates that one entity makes use of a tunnel as a passage or route to reach or connect to another entity.
-
B.
hasTunnel
chosen
Indicates that one entity possesses, contains, or is connected by a tunnel to another entity.
-
C.
tunnelCircumference
Indicates the circular distance around the inner boundary of a tunnel’s cross-section.
-
D.
builtIn
Indicates that one entity is inherently included as a standard, pre-existing component or feature of another entity, rather than being added or installed separately.
-
E.
transportLayerFor
Indicates that one entity functions as the transport-layer protocol or mechanism used to carry or deliver another entity’s data.
- 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.