Triple
T865599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Training Act 1939 |
E18694
|
entity |
| Predicate | maximumAge |
P13972
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Military Training Act 1939, maximumAge, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumAge Context triple: [Military Training Act 1939, maximumAge, 21]
-
A.
maximumAgeAtAward
Indicates the highest age a recipient can be (or was) at the time an award is given.
-
B.
expirationPolicy
Indicates the rules or conditions under which something becomes invalid, unusable, or no longer in effect after a certain time or event.
-
C.
maximumRegistrationAge
chosen
Indicates the highest age at which an entity is allowed or eligible to register.
-
D.
maximumCapacity
Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
-
E.
maxCurrent
Indicates the maximum electric current that is allowed to flow through or be drawn by an entity under specified 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6acc148190bcc00a1e939ace77 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa86065881909d477e26fdd84d45 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.