Triple
T6723689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 American League pennant |
E153456
|
entity |
| Predicate | franchisePennantNumberForTexasRangers |
P24506
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [2023 American League pennant, franchisePennantNumberForTexasRangers, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchisePennantNumberForTexasRangers Context triple: [2023 American League pennant, franchisePennantNumberForTexasRangers, 3]
-
A.
pennantNumberForFranchise
chosen
Indicates the specific pennant (league championship) number associated with a particular sports franchise.
-
B.
pennantNumber
Indicates the identifying pennant number assigned to a ship or naval vessel.
-
C.
PhilliesLeaguePennantNumber
Indicates the number of league pennants that the Philadelphia Phillies have won.
-
D.
previousPennantForFranchise
Indicates that one pennant (championship title or league victory) directly preceded another for the same sports franchise in chronological order.
-
E.
pennantTeam
Indicates that a team has won or represents the league or conference pennant for a given season or competition.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:08 p.m.