Triple
T4129126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward of Caernarfon |
E84997
|
entity |
| Predicate | dateOfInvestitureAsPrinceOfWales |
P54006
|
FINISHED |
| Object | 1301-02-07 |
—
|
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: 1301-02-07 | Statement: [Edward of Caernarfon, dateOfInvestitureAsPrinceOfWales, 1301-02-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfInvestitureAsPrinceOfWales Context triple: [Edward of Caernarfon, dateOfInvestitureAsPrinceOfWales, 1301-02-07]
-
A.
successorAsPrinceOfWales
Indicates that one person becomes the next holder of the title "Prince of Wales" after another person.
-
B.
dateBecamePrincessRoyal
Indicates the specific date on which an individual assumed the title or status of Princess Royal.
-
C.
reignAsDukeOfYorkStart
Indicates the time at which an individual begins their tenure holding the title and authority of Duke of York.
-
D.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
E.
dateOfKnighthood
Indicates the specific date on which an individual was formally granted knighthood.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:42 p.m.