Triple
T30674681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty-State Initiative |
E780879
|
entity |
| Predicate | numberOfTeamsPlanned |
P6986
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Fifty-State Initiative, numberOfTeamsPlanned, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsPlanned Context triple: [Fifty-State Initiative, numberOfTeamsPlanned, 50]
-
A.
numberOfNewTeams
Indicates the quantity of teams that are newly formed or added within a specified context or time frame.
-
B.
numberOfTeamsLater
Indicates that one entity has a greater number of teams than another entity at a later point in time.
-
C.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
D.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
E.
numberOfTeamsVariesBetween
Indicates that the count of teams involved changes within a specified range or across different instances or conditions.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a008e29f76881908e656dbbd7fceea3 |
completed | May 10, 2026, 1:54 p.m. |
| PD | Predicate disambiguation | batch_6a008dc01b308190bc26e69814692f82 |
completed | May 10, 2026, 1:53 p.m. |
Created at: April 29, 2026, 8:32 p.m.