Triple
T11108258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross of Knight of the Legion of Honor |
E262688
|
entity |
| Predicate | minimumAgeForCivilians |
P97307
|
FINISHED |
| Object | typically at least 30 years old |
—
|
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: typically at least 30 years old | Statement: [Cross of Knight of the Legion of Honor, minimumAgeForCivilians, typically at least 30 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumAgeForCivilians Context triple: [Cross of Knight of the Legion of Honor, minimumAgeForCivilians, typically at least 30 years old]
-
A.
militaryAge
Indicates that an entity is within the age range typically considered eligible for military service.
-
B.
minimumRegistrationAge
Indicates the lowest age at which an entity is allowed or eligible to register for something.
-
C.
civilianEligibility
Indicates that an entity meets the criteria or conditions required to be classified or treated as a civilian in a given context.
-
D.
maximumAgeRequirement
Indicates that there is an upper age limit that an entity must not exceed in order for a condition, participation, or eligibility to apply.
-
E.
minimumAgeForLiteracyTest
Indicates the minimum age requirement that an individual must meet in order to be eligible to take a literacy test.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a67d10c8190815d4c27d55270e8 |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.