Triple
T32778454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | García Sánchez II of Pamplona |
E838283
|
entity |
| Predicate | deathPlaceApproximate |
P21
|
FINISHED |
| Object | Kingdom of Pamplona |
—
|
NE NERFINISHED |
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: Kingdom of Pamplona | Statement: [García Sánchez II of Pamplona, deathPlaceApproximate, Kingdom of Pamplona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathPlaceApproximate Context triple: [García Sánchez II of Pamplona, deathPlaceApproximate, Kingdom of Pamplona]
-
A.
placeOfDeath
chosen
Indicates the location where an entity (typically a person or animal) died.
-
B.
deathPlace_uncertain
Indicates that the place where an entity died is not known with certainty or is disputed.
-
C.
traditionalPlaceOfDeath
Indicates the location where a person is customarily or culturally considered to have died, according to traditional or historical accounts.
-
D.
residenceAtDeath
Indicates the place where an individual was living at the time of their death.
-
E.
deathApprox
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 1:13 a.m.