Triple
T4054509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Capetian forces |
E84661
|
entity |
| Predicate | ledByTitle |
P53033
|
FINISHED |
| Object | prince of France |
—
|
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: prince of France | Statement: [French Capetian forces, ledByTitle, prince of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledByTitle Context triple: [French Capetian forces, ledByTitle, prince of France]
-
A.
laterTitleHolder
Indicates that one entity is a subsequent holder of a particular title or position previously held by another entity.
-
B.
titleOnTheLine
Indicates that a title or heading is positioned directly on a specific line (such as a line of text, a boundary, or a graphical line) rather than above, below, or separate from it.
-
C.
recognizesTitle
Indicates that one entity acknowledges or accepts another entity’s formal title or designation as valid or appropriate.
-
D.
namedForTitle
Indicates that one entity is named after or in honor of the title (such as a rank, honorific, or formal designation) associated with another entity.
-
E.
relatedTitleHolder
Indicates that one entity holds a title or position that is related or connected to the title or position held by 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbaa84b88190856e179266769e6d |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9fcb31c819098d5287b6fc84f4e |
completed | March 9, 2026, 4:49 p.m. |
Created at: March 9, 2026, 3:37 p.m.