Triple
T22236825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindenwald |
E549612
|
entity |
| Predicate | associatedPresidentNumber |
P27373
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Lindenwald, associatedPresidentNumber, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPresidentNumber Context triple: [Lindenwald, associatedPresidentNumber, 8]
-
A.
associatedPresident
chosen
Indicates a relationship where a person, organization, event, or entity is linked or connected to a specific president in a relevant or significant way.
-
B.
presidentNumberElected
Indicates the ordinal number corresponding to the sequence in which a person was elected president.
-
C.
presidentialNumber
Indicates the ordinal position a person holds in a sequence of presidents (e.g., first, second, third president).
-
D.
favoritePresident
Indicates that one person regards a particular president as their preferred or most liked choice among all presidents.
-
E.
onlyPresident
Indicates that the subject is the sole individual holding the role of president within a given context or organization.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf7b1d8819091087dcfdb2e967c |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.