Triple
T26766563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syntopicon |
E674954
|
entity |
| Predicate | compilerTeamSize |
P23565
|
FINISHED |
| Object | large editorial staff |
—
|
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: large editorial staff | Statement: [Syntopicon, compilerTeamSize, large editorial staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compilerTeamSize Context triple: [Syntopicon, compilerTeamSize, large editorial staff]
-
A.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
B.
teamSizeVariantOf
Indicates that one entity represents a variation of another entity specifically in terms of team size configuration or composition.
-
C.
collaborationSize
Indicates the number of participants involved together in a given collaborative relationship or activity.
-
D.
teamSizeFormat
Indicates how the size of a team is represented or formatted (e.g., as a number, range, or categorized label).
-
E.
staffSize
chosen
Indicates the number of staff members associated with an 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f619289e008190a0f99326509ff9cb |
completed | May 2, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 4 a.m.