Triple
T155524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN peacekeepers |
E3170
|
entity |
| Predicate | firstLargeDeploymentYear |
P3273
|
FINISHED |
| Object | 1956 |
—
|
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: 1956 | Statement: [UN peacekeepers, firstLargeDeploymentYear, 1956]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLargeDeploymentYear Context triple: [UN peacekeepers, firstLargeDeploymentYear, 1956]
-
A.
firstDeployed
chosen
Indicates the time or event when something (such as a system, product, or resource) was initially put into active use or operation.
-
B.
firstDeployedFor
Indicates that an entity was initially deployed or put into operational use specifically for another entity (such as a project, mission, or organization).
-
C.
firstPlanStartYear
Indicates the calendar year in which an entity’s initial plan or planning period begins.
-
D.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
E.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2565ded588190a27319aaa0130b4f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.