Triple
T7244361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chibiabos |
E156434
|
entity |
| Predicate | publicationDateOfFirstAppearance |
P4114
|
FINISHED |
| Object | 1855 |
—
|
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: 1855 | Statement: [Chibiabos, publicationDateOfFirstAppearance, 1855]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationDateOfFirstAppearance Context triple: [Chibiabos, publicationDateOfFirstAppearance, 1855]
-
A.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
B.
firstAppeared
chosen
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
C.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
D.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
E.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea58533481909af7a4a6ade40eff |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.