Triple
T35799622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spee family |
E1034932
|
entity |
| Predicate | hasMemberInField |
P199512
|
FINISHED |
| Object | military |
—
|
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: military | Statement: [Spee family, hasMemberInField, military]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberInField Context triple: [Spee family, hasMemberInField, military]
-
A.
hasMemberFrom
Indicates that a group, organization, or collection includes at least one member originating from or belonging to a specified source, place, or category.
-
B.
hasMemberWithIdentity
Indicates that a group or collection includes at least one member that possesses a specified identity or identifier.
-
C.
hasMemberPropertyExample
Indicates that a member of a group or collection possesses a specific property illustrated by an example.
-
D.
hasGroupMember
Indicates that a group or collection includes a specific entity as one of its members.
-
E.
hasMemberAlsoIn
Indicates that an entity has at least one member who also belongs to another specified group or collection.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff3fb2318c81908a46c2f513608935 |
completed | May 9, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69ff3e96dcc48190819f6204680d84aa |
completed | May 9, 2026, 2:03 p.m. |
| PDg | Predicate description generation | batch_69ff3fb151008190bf8a90f9f1c5f0c8 |
completed | May 9, 2026, 2:07 p.m. |
Created at: May 3, 2026, 4:06 p.m.