Triple
T24026758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major League Baseball expansion in the 1990s |
E594984
|
entity |
| Predicate | increasedNumberOfTeamsFrom |
P6986
|
FINISHED |
| Object | 26 |
—
|
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: 26 | Statement: [Major League Baseball expansion in the 1990s, increasedNumberOfTeamsFrom, 26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasedNumberOfTeamsFrom Context triple: [Major League Baseball expansion in the 1990s, increasedNumberOfTeamsFrom, 26]
-
A.
advancesNumberOfTeams
Indicates that one entity causes an increase in how many teams progress or move forward in a given context.
-
B.
numberOfNewTeams
Indicates the quantity of teams that are newly formed or added within a specified context or time frame.
-
C.
numberOfTeamsLater
Indicates that one entity has a greater number of teams than another entity at a later point in time.
-
D.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
E.
rebootNumberOfTeams
Indicates the number of teams involved in or affected by a particular reboot event or process.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76c083c819090784ecb42effbae |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:54 p.m.