Triple
T11567775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso II of Aragon |
E274299
|
entity |
| Predicate | reignStartAsCountOfBarcelona |
P100372
|
FINISHED |
| Object | 1162 |
—
|
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: 1162 | Statement: [Alfonso II of Aragon, reignStartAsCountOfBarcelona, 1162]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignStartAsCountOfBarcelona Context triple: [Alfonso II of Aragon, reignStartAsCountOfBarcelona, 1162]
-
A.
reignStartAsPrinceOfAragon
Indicates the date or event when an individual began their reign holding the title of Prince of Aragon.
-
B.
numberOfTermsAsFCBarcelonaPresident
Indicates the number of separate terms an individual has served as president of FC Barcelona.
-
C.
reignStart
Indicates the date or point in time when an entity’s period of ruling or governing authority begins.
-
D.
startTimeAtTeam_FCBarcelona
Indicates the time at which an entity begins its association or activity with the team FC Barcelona.
-
E.
reignStartAsKingOfPamplona
Indicates the time or event when an individual begins their rule as king over the realm of Pamplona.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd4305c8190ac5ff490b6b63e12 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:37 p.m.