Triple
T12845710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella of France, Queen of Navarre |
E307168
|
entity |
| Predicate | deathYearInferredFrom |
P107196
|
FINISHED |
| Object | reign of Theobald II of Navarre |
—
|
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: reign of Theobald II of Navarre | Statement: [Isabella of France, Queen of Navarre, deathYearInferredFrom, reign of Theobald II of Navarre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathYearInferredFrom Context triple: [Isabella of France, Queen of Navarre, deathYearInferredFrom, reign of Theobald II of Navarre]
-
A.
deathYearApproximate
Indicates that the year of an entity’s death is known only approximately rather than as an exact calendar year.
-
B.
yearOfDeath
Indicates the specific year in which an entity (typically a person or organism) died.
-
C.
dateOfDeath
Indicates the specific date on which an individual or entity died.
-
D.
diedInSameYearAs
Indicates that two entities each died in the same calendar year.
-
E.
notableBearerDeathYear
Indicates the year in which a notable bearer of the referenced name, title, or role died.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:36 p.m.