Triple
T15076348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996 National League season |
E380010
|
entity |
| Predicate | pennantNumberForChampion |
P24506
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [1996 National League season, pennantNumberForChampion, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pennantNumberForChampion Context triple: [1996 National League season, pennantNumberForChampion, 4]
-
A.
pennantNumber
Indicates the identifying pennant number assigned to a ship or naval vessel.
-
B.
pennantNumberForFranchise
chosen
Indicates the specific pennant (league championship) number associated with a particular sports franchise.
-
C.
pennantRaceNickname
Indicates a nickname or informal name used to refer to a specific pennant race in sports.
-
D.
pennantTeam
Indicates that a team has won or represents the league or conference pennant for a given season or competition.
-
E.
previousPennantForFranchise
Indicates that one pennant (championship title or league victory) directly preceded another for the same sports franchise in chronological order.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.