Triple
T4072365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight |
E86675
|
entity |
| Predicate | noLongerNecessarilyImplies |
P3442
|
FINISHED |
| Object | military function |
—
|
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: military function | Statement: [Knight, noLongerNecessarilyImplies, military function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noLongerNecessarilyImplies Context triple: [Knight, noLongerNecessarilyImplies, military function]
-
A.
doesNotImply
chosen
Indicates that the truth of one statement or condition does not guarantee or lead to the truth of another statement or condition.
-
B.
notGuaranteed
Indicates that the specified outcome, condition, or obligation is not assured to occur or be fulfilled.
-
C.
notStronglyAssociatedWith
Indicates that two entities have little to no meaningful or statistically significant relationship or connection with each other.
-
D.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
E.
notTypically
Indicates that the referenced situation, behavior, or relationship does not usually or normally occur under standard or expected conditions.
- F. None of above.
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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc20ed788190bd935082a348a05d |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.