Triple
T22156963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farewell Spit / Onetahua |
E547562
|
entity |
| Predicate | isShape |
P1464
|
FINISHED |
| Object | long narrow sandspit |
—
|
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: long narrow sandspit | Statement: [Farewell Spit / Onetahua, isShape, long narrow sandspit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShape Context triple: [Farewell Spit / Onetahua, isShape, long narrow sandspit]
-
A.
shapeType
Indicates the specific geometric form or category that characterizes an entity’s shape.
-
B.
isRectangular
Indicates that an object or shape has the properties of a rectangle, typically with four sides and right angles between adjacent sides.
-
C.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
D.
hasTerminalShape
Indicates that one entity possesses or exhibits a particular terminal (end) shape defined by another entity.
-
E.
hasSquareShape
Indicates that an entity possesses a square geometric shape, typically having four equal sides and four right angles.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12a29eb848190b0531ce7e45b1003 |
completed | April 28, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:33 p.m.