Triple
T18827176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inaccessible Island rail |
E460417
|
entity |
| Predicate | smallest |
P64837
|
FINISHED |
| Object | world’s smallest living flightless bird |
—
|
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: world’s smallest living flightless bird | Statement: [Inaccessible Island rail, smallest, world’s smallest living flightless bird]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smallest Context triple: [Inaccessible Island rail, smallest, world’s smallest living flightless bird]
-
A.
isSmallestOf
chosen
Indicates that an entity has the minimum size or value within a specified set or group of entities.
-
B.
isSmallestByAreaIn
Indicates that an entity has the smallest area among all comparable entities within a specified set, group, or context.
-
C.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
-
D.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
E.
miniaturizedIn
Indicates that one entity exists as a smaller-scale or reduced-size version within or relative to another entity.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bfa4a88190b17d3118121414be |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.