Triple
T10560550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMX-10P |
E249205
|
entity |
| Predicate | statusInFrenchArmy |
P10078
|
FINISHED |
| Object | phased out |
—
|
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: phased out | Statement: [AMX-10P, statusInFrenchArmy, phased out]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInFrenchArmy Context triple: [AMX-10P, statusInFrenchArmy, phased out]
-
A.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
B.
militaryStatus
chosen
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
-
C.
legalStatusDuringFrancoRegime
Indicates the legal status or condition an entity held under the laws and policies of the Franco regime in Spain.
-
D.
FrenchUnit
Indicates that a unit or entity is associated with France, typically by origin, affiliation, or national identity.
-
E.
rankInLegionOfHonour
Indicates the specific level or grade a person holds within the hierarchy of the Legion of Honour distinction.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5271f3c6c819080b49fbe3aa09e09 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.