Triple
T3919325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longuet-Higgins theorem in molecular symmetry |
E88919
|
entity |
| Predicate | explains |
P264
|
FINISHED |
| Object | origin of Jahn–Teller distortions in terms of symmetry |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: origin of Jahn–Teller distortions in terms of symmetry | Statement: [Longuet-Higgins theorem in molecular symmetry, explains, origin of Jahn–Teller distortions in terms of symmetry]
Provenance (2 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed5af92481908aa55bd9286a090c |
completed | March 9, 2026, 3:55 p.m. |
Created at: March 9, 2026, 3:22 p.m.