Triple
T1310718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walkway Over the Hudson |
E27982
|
entity |
| Predicate | conversionPurpose |
P79
|
FINISHED |
| Object | public park |
—
|
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: public park | Statement: [Walkway Over the Hudson, conversionPurpose, public park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionPurpose Context triple: [Walkway Over the Hudson, conversionPurpose, public park]
-
A.
purpose
chosen
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
B.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
C.
conversionEvent
Indicates that a user or entity has completed a desired target action (such as a purchase, signup, or other goal) that counts as a successful conversion.
-
D.
conversionBasis
Indicates the reference standard, rate, or unit system used as the foundation for converting one quantity, unit, or representation into another.
-
E.
convertedFor
Indicates that one entity has been transformed, adapted, or reformatted specifically for use, compatibility, or suitability with 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.