Triple
T2089962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Kennedy Memorial Plaza |
E32644
|
entity |
| Predicate | honoursPosition |
P34642
|
FINISHED |
| Object | 35th president of the United States |
—
|
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: 35th president of the United States | Statement: [John F. Kennedy Memorial Plaza, honoursPosition, 35th president of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoursPosition Context triple: [John F. Kennedy Memorial Plaza, honoursPosition, 35th president of the United States]
-
A.
honoursTitle
Indicates that an entity holds or is designated by a formal honorific or honorary title.
-
B.
honoursSystemRole
Indicates that one entity respects, preserves, or correctly applies the designated system-level role of another entity or process.
-
C.
honourType
Indicates the specific category or classification of an honour or award associated with an entity.
-
D.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
E.
isOneOfHighestHonoursOf
Indicates that something ranks among the most prestigious or esteemed honors within a particular field, context, or system.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba730a5c8190a85be72149574d79 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:43 p.m.