Triple
T37590223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borrell II, Count of Barcelona and Urgell |
E935239
|
entity |
| Predicate | startTimeAsCountOfBarcelona |
P100372
|
FINISHED |
| Object | 947 |
—
|
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: 947 | Statement: [Borrell II, Count of Barcelona and Urgell, startTimeAsCountOfBarcelona, 947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsCountOfBarcelona Context triple: [Borrell II, Count of Barcelona and Urgell, startTimeAsCountOfBarcelona, 947]
-
A.
endTimeAsCountOfBarcelona
Indicates that the end time of an event or interval is expressed as a numerical count associated with Barcelona (e.g., a time index or measure defined relative to Barcelona).
-
B.
reignStartAsCountOfBarcelona
chosen
Indicates the time at which an individual began their reign holding the title of Count of Barcelona.
-
C.
startTimeAtTeam_FCBarcelona
Indicates the time at which an entity begins its association or activity with the team FC Barcelona.
-
D.
timeOfBarcelonaDisputation
Indicates the specific time or period during which the Barcelona Disputation took place.
-
E.
FCBarcelonaTemporaryUseStart
Indicates the date or point in time when FC Barcelona begins a temporary use or occupancy of something (such as a player, facility, or resource).
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01289f781481908f3788f8a719f2f4 |
completed | May 11, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_6a012823c7248190961e20be48dd6246 |
completed | May 11, 2026, 12:51 a.m. |
Created at: May 3, 2026, 4:18 p.m.