Triple
T37590226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borrell II, Count of Barcelona and Urgell |
E935239
|
entity |
| Predicate | endTimeAsCountOfUrgell |
P198747
|
FINISHED |
| Object | 992 |
—
|
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: 992 | Statement: [Borrell II, Count of Barcelona and Urgell, endTimeAsCountOfUrgell, 992]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsCountOfUrgell Context triple: [Borrell II, Count of Barcelona and Urgell, endTimeAsCountOfUrgell, 992]
-
A.
durationUntil
Indicates the length of time remaining from a given starting point until a specified future event or state occurs.
-
B.
endTimeRepresented
Indicates that a specified time value denotes the point at which an event, state, or representation concludes.
-
C.
endTimeAsCapital
Indicates that a specified time marks the ending point of an event, process, or state in the role of its designated capital or primary endpoint.
-
D.
timeUnitOf
Indicates that one entity specifies the unit of time (e.g., seconds, minutes, hours) in which the other entity’s temporal quantity or duration is expressed.
-
E.
timeIntervalLength
Indicates the duration or length of a specified time interval.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: May 3, 2026, 4:18 p.m.