Triple
T6276990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quentin Roosevelt Boulevard |
E140684
|
entity |
| Predicate | hasEponymBirthYear |
P11702
|
FINISHED |
| Object | 1897 |
—
|
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: 1897 | Statement: [Quentin Roosevelt Boulevard, hasEponymBirthYear, 1897]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEponymBirthYear Context triple: [Quentin Roosevelt Boulevard, hasEponymBirthYear, 1897]
-
A.
authorBirthYear
Indicates the year in which the author of a work or text was born.
-
B.
hasEponymConnectionTo
Indicates that one entity is named after, derived from, or otherwise linguistically or honorifically connected to another entity as its eponym.
-
C.
notableBearerBirthYear
chosen
Indicates the year in which a notable bearer of the referenced name, title, or identifier was born.
-
D.
eponymApprovalYear
Indicates the year in which an eponym (a name derived from a person or entity) was formally approved or adopted.
-
E.
creatorBirthDate
Indicates the date on which the creator of an entity was born.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063d96fbc8190a9091456b82762d1 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.