Triple
T17739017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of the Two Sicilies |
E442801
|
entity |
| Predicate | usedForMembers |
P15579
|
FINISHED |
| Object | cadet members of the Bourbon-Two Sicilies family |
—
|
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: cadet members of the Bourbon-Two Sicilies family | Statement: [Prince of the Two Sicilies, usedForMembers, cadet members of the Bourbon-Two Sicilies family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForMembers Context triple: [Prince of the Two Sicilies, usedForMembers, cadet members of the Bourbon-Two Sicilies family]
-
A.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
B.
eligibleMembers
chosen
Indicates that certain entities meet the required criteria or conditions to be considered eligible members of a specified group or category.
-
C.
usedForTeam
Indicates that something is utilized or designated for use by a particular team.
-
D.
servesMember
Indicates that one entity provides services or assistance to another entity that is considered its member.
-
E.
usedForService
Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acb05848190a4b7edb98f15b8c6 |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:09 a.m.