Triple
T20610552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StreetPass |
E506435
|
entity |
| Predicate | maxRegisteredTitles |
P4419
|
FINISHED |
| Object | up to 12 titles (initially, later expanded by updates) |
—
|
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: up to 12 titles (initially, later expanded by updates) | Statement: [StreetPass, maxRegisteredTitles, up to 12 titles (initially, later expanded by updates)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxRegisteredTitles Context triple: [StreetPass, maxRegisteredTitles, up to 12 titles (initially, later expanded by updates)]
-
A.
uniqueTitleHolderCount
Indicates the number of distinct entities that exclusively hold a given title, with no other entity sharing that same title.
-
B.
titleCount
chosen
Indicates the number of distinct titles associated with an entity within a given context.
-
C.
totalFranchiseTitleNumber
Indicates the total count of titles associated with a given franchise across all its installments or entries.
-
D.
sharedTitlesAllowed
Indicates whether multiple entities are permitted to have the same title within a given context or system.
-
E.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad6f53481908fb242947dda7028 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.