Triple
T189489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | deuteron |
E3686
|
entity |
| Predicate | hasExcitedBoundStates |
P7812
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [deuteron, hasExcitedBoundStates, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExcitedBoundStates Context triple: [deuteron, hasExcitedBoundStates, false]
-
A.
hasChargeConjugation
Indicates that one entity is the charge-conjugated counterpart (particle vs. antiparticle form) of another entity.
-
B.
hasIsospin
Indicates that one particle possesses a specific isospin value or quantum number in relation to another reference or classification framework.
-
C.
hasObserverStates
Indicates that an entity is associated with one or more observer-specific states or conditions under which it is perceived or evaluated.
-
D.
hasMajorPlateau
Indicates that an entity possesses or includes a primary, extensive plateau as a significant geographic or structural feature.
-
E.
hasMajorCurrent
Indicates that an entity currently has a primary field of study or specialization.
- F. None of above. chosen
Provenance (4 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_69a2594c385481909e1e088e45c460a4 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25673ce3c8190b1a3df5b814a0595 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a258fbd18881908c9d40f7a2480945 |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.