Triple
T13202708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croix de la Libération |
E314279
|
entity |
| Predicate | numberOfMilitaryUnitRecipients |
P76410
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Croix de la Libération, numberOfMilitaryUnitRecipients, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMilitaryUnitRecipients Context triple: [Croix de la Libération, numberOfMilitaryUnitRecipients, 18]
-
A.
numberOfMilitaryUnitsRecipients
chosen
Indicates the quantity of military units that are received by, or allocated to, the recipient entities in the relationship.
-
B.
awardedToUnits
Indicates that something (such as a prize, honor, or recognition) has been granted or conferred to specific units (e.g., groups, divisions, or organizations).
-
C.
militaryOrganization
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
-
D.
militaryUnitOf
Indicates that one entity is a military unit that belongs to, is part of, or is under the command or organizational structure of another entity.
-
E.
numberOfBattalions
Indicates the quantitative relationship specifying how many battalions are associated with a given entity or context.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.