Triple
T12149673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civilian Joint Task Force |
E289419
|
entity |
| Predicate | approximateFormationPeriod |
P84263
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Civilian Joint Task Force, approximateFormationPeriod, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateFormationPeriod Context triple: [Civilian Joint Task Force, approximateFormationPeriod, 2013]
-
A.
approximateInceptionPeriod
chosen
Indicates an estimated or loosely defined time period during which something began or came into existence.
-
B.
approximateStartYear
Indicates that the associated year value represents an estimated or imprecise starting year for an event, state, or relationship rather than an exact one.
-
C.
estimatedYearOfCreation
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
D.
approximateBirthYear
Indicates that the associated year is an estimated or inferred value for when an entity was born, rather than an exact known birth year.
-
E.
mainFormationPeriod
Indicates the time span during which something was primarily formed or took shape.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.