Triple
T1184199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CERN LHC Run 2 era |
E25207
|
entity |
| Predicate | associatedExperiment |
P1591
|
FINISHED |
| Object | TOTEM |
E3750
|
NE 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: TOTEM | Statement: [CERN LHC Run 2 era, associatedExperiment, TOTEM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOTEM Context triple: [CERN LHC Run 2 era, associatedExperiment, TOTEM]
-
A.
TOTEM
chosen
TOTEM is a high-energy physics experiment at CERN’s Large Hadron Collider that precisely measures proton–proton scattering and total cross sections.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Tozzer
Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
-
D.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
E.
Ta-Mehu
Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bf15423481909cb3e661e58d3d94 |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f239a288190ae488d11cff8ebf2 |
completed | March 7, 2026, 6:32 p.m. |
Created at: March 1, 2026, 7:45 p.m.