Triple
T22828554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odo of France |
E565729
|
entity |
| Predicate | precededByAsCountOfParis |
P149890
|
FINISHED |
| Object | his father Robert the Strong |
—
|
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: his father Robert the Strong | Statement: [Odo of France, precededByAsCountOfParis, his father Robert the Strong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByAsCountOfParis Context triple: [Odo of France, precededByAsCountOfParis, his father Robert the Strong]
-
A.
predecessorAsCountOfBoulogne
Indicates that one entity served as the immediate predecessor in holding the title or position associated with the Count of Boulogne relative to another entity.
-
B.
precedesInParadiso
Indicates that one entity appears or occurs earlier than another within the sequence or structure of the Paradiso.
-
C.
primaryStopInParis
Indicates that an entity’s main or most significant stop, visit, or stopover occurs in Paris.
-
D.
precededByInHolland
Indicates that one entity temporally or sequentially comes before another within the specific context of Holland.
-
E.
predecessorAsCountOfAnjou
Indicates that one entity is the predecessor (previous holder) of the title or position "Count of Anjou" relative to another entity.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2a0e308190941064965346f890 |
completed | April 29, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:34 p.m.