Triple
T8330322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Claus's reindeer team |
E195057
|
entity |
| Predicate | hasExpandedNumberOfMembers |
P73282
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Santa Claus's reindeer team, hasExpandedNumberOfMembers, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpandedNumberOfMembers Context triple: [Santa Claus's reindeer team, hasExpandedNumberOfMembers, 9]
-
A.
hasCurrentNumberOfMembers
Indicates the current count of members associated with a given entity.
-
B.
hadNumberOfMembers
Indicates that an entity possessed or was associated with a specific count of members at a given time or in a given context.
-
C.
numberOfAdditionalMembers
chosen
Indicates the count of extra members associated with an entity beyond its primary or standard membership.
-
D.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
E.
hasMaximumNumberOfMembers
Indicates that there is an upper limit on how many members can be associated with a given 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fb995508190b2ca94ad45bf6d24 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:56 p.m.