Triple
T32323219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cities in Flight |
E825831
|
entity |
| Predicate | firstBookPublicationDecade |
P206251
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Cities in Flight, firstBookPublicationDecade, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBookPublicationDecade Context triple: [Cities in Flight, firstBookPublicationDecade, 1950s]
-
A.
firstWorkPublicationDecade
Indicates the decade during which an entity’s first work was published.
-
B.
firstEditionPublicationDecade
Indicates the decade during which the first edition of a work was originally published.
-
C.
firstWorkPublicationCentury
Indicates the century in which an entity’s first work was originally published.
-
D.
firstChapterPublicationYear
Indicates the year in which the first chapter of a work was originally published.
-
E.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:47 a.m.