Triple
T2208455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LHC Run 3 |
E50856
|
entity |
| Predicate | includesExperiment |
P37454
|
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: [LHC Run 3, includesExperiment, TOTEM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOTEM Context triple: [LHC Run 3, includesExperiment, 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.
T.O.T.S.
T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
-
C.
Taoyateduta
Taoyateduta, also known as Little Crow, was a prominent Dakota chief who played a leading role in the U.S.–Dakota War of 1862.
-
D.
Itonama
Itonama is an indigenous language of the Bolivian Amazon, traditionally spoken by the Itonama people in the Beni region.
-
E.
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.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc5b101d48190a321625720d537b6 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654e22b48190bb40f7c61bb359b1 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.