Triple
T1984929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Early Modern Irish |
E43118
|
entity |
| Predicate | endTimeApproximate |
P35787
|
FINISHED |
| Object | c. 1650 |
—
|
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: c. 1650 | Statement: [Early Modern Irish, endTimeApproximate, c. 1650]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeApproximate Context triple: [Early Modern Irish, endTimeApproximate, c. 1650]
-
A.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
B.
peakDeliveryTime
Indicates the time period during which deliveries are expected to be at their highest volume or frequency.
-
C.
possibleDuration
Indicates the range or specific length of time that an action, event, or state can last or is allowed to last.
-
D.
hasApproximateDuration
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
-
E.
deliveryDays
Indicates the number of days required for an item or service to be delivered from the sender to the recipient.
- F. None of above. chosen
Provenance (4 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb96e07c08190beed60096e9d71b4 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:37 p.m.