Triple
T30780808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athletics won 4–2 |
E783805
|
entity |
| Predicate | runnerUpFullName |
P170801
|
FINISHED |
| Object | New York Giants |
—
|
NE NERFINISHED |
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: New York Giants | Statement: [Athletics won 4–2, runnerUpFullName, New York Giants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpFullName Context triple: [Athletics won 4–2, runnerUpFullName, New York Giants]
-
A.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
B.
runnerUpNickname
Indicates that one entity is the nickname used for the runner-up position or second-place finisher in relation to another entity.
-
C.
runnerUpRank
Indicates the position or ranking assigned to an entity that finishes immediately after the winner (or near the top) in a competition or ordered list.
-
D.
runnerUpWins
Indicates that an entity finishes in second place in a competition or ranking and receives the corresponding runner-up victory or award.
-
E.
runnerUpAbbreviation
Indicates that one entity is the standard abbreviated form used to denote the runner-up associated with another entity (such as a competition, event, or award).
- F. None of above. chosen
Provenance (4 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:41 p.m.