Triple
T1591787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doha Agreement (2020) |
E34192
|
entity |
| Predicate | timeframeSpecified |
P9981
|
FINISHED |
| Object | 14-month withdrawal schedule for all foreign forces |
—
|
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: 14-month withdrawal schedule for all foreign forces | Statement: [Doha Agreement (2020), timeframeSpecified, 14-month withdrawal schedule for all foreign forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeframeSpecified Context triple: [Doha Agreement (2020), timeframeSpecified, 14-month withdrawal schedule for all foreign forces]
-
A.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
B.
timePeriodWithin
Indicates that one time period is entirely contained within the bounds of another time period.
-
C.
timePeriodProposed
Indicates that a specific time period has been suggested or put forward for consideration or adoption.
-
D.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
-
E.
timescale
chosen
Indicates the temporal scale or duration over which a process, relationship, or effect occurs or is evaluated.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.