Triple
T8325627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nambu–Jona-Lasinio model |
E194943
|
entity |
| Predicate | validityRegime |
P82112
|
FINISHED |
| Object | low-energy hadronic physics |
—
|
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: low-energy hadronic physics | Statement: [Nambu–Jona-Lasinio model, validityRegime, low-energy hadronic physics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: validityRegime Context triple: [Nambu–Jona-Lasinio model, validityRegime, low-energy hadronic physics]
-
A.
validityType
Indicates the specific kind or category of validity that characterizes how or under what conditions something is considered valid.
-
B.
validityArea
Indicates the geographic or contextual area within which something (such as a rule, document, or status) is considered valid or in effect.
-
C.
hasValidityPeriod
Indicates that something is associated with a specific time span during which it is considered valid or in effect.
-
D.
validityPeriodForAdults
Indicates the time span during which something is considered valid or applicable specifically for adults.
-
E.
supportedRegime
Indicates that an entity provided assistance, endorsement, or backing to a particular political regime or government in power.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7fba688190b696593dfb2cde5d |
completed | March 31, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:56 p.m.