Triple
T16567693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 106th World Series |
E402503
|
entity |
| Predicate | sanFranciscoEraTitleNumber |
P64721
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [106th World Series, sanFranciscoEraTitleNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sanFranciscoEraTitleNumber Context triple: [106th World Series, sanFranciscoEraTitleNumber, 1]
-
A.
titleNumber
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
B.
sonTitle
Indicates that the object is a title or form of address specifically associated with the subject in their role as a son.
-
C.
SSNumber
Indicates that an entity has a specific Social Security Number assigned to it.
-
D.
opusNumber
Indicates that a creative work is assigned a specific opus number identifying its place within a creator’s catalog or chronological sequence of works.
-
E.
totalFranchiseTitleNumber
chosen
Indicates the total count of titles associated with a given franchise across all its installments or entries.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35772f6608190a125c7d3c199c3e2 |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.