Triple
T192508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOTEM |
E3750
|
entity |
| Predicate | acronym |
P43
|
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: [TOTEM, acronym, TOTEM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOTEM Context triple: [TOTEM, acronym, 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.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
C.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
-
D.
Notarikon
Notarikon is a traditional Jewish interpretive technique, especially used in Kabbalah, that derives hidden meanings by treating each letter of a word as the initial or final letter of another word to form phrases or concepts.
-
E.
The Five
The Five is a Fox News Channel weekday panel show where five co-hosts discuss current news, politics, and pop culture from a generally conservative perspective.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30cc7d0b88190a6a7b8679af27cc5 |
completed | Feb. 28, 2026, 3:42 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.