Triple
T18765468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League home run leader |
E458882
|
entity |
| Predicate | hasTieRule |
P92945
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [National League home run leader, hasTieRule, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTieRule Context triple: [National League home run leader, hasTieRule, yes]
-
A.
hasTiePossibility
chosen
Indicates that a situation, event, or interaction has the potential to end in a tie or draw rather than producing a single winner.
-
B.
hasTieDowns
Indicates that an object, structure, or vehicle is equipped with tie-down points or devices for securing loads or attachments.
-
C.
typeOfTie
Indicates the specific kind or category of relationship or connection that exists between two entities.
-
D.
hasTieGame
Indicates that a game or match has ended with both sides having the same score, resulting in no winner.
-
E.
usesTwoLeggedTies
Indicates that one entity employs or applies two-legged ties in relation to another entity or context.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d83ae10819094b3298cb8256327 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.