Triple
T14174986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Ulysses, New York |
E351307
|
entity |
| Predicate | hasZoningOrdinance |
P49789
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Town of Ulysses, New York, hasZoningOrdinance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasZoningOrdinance Context triple: [Town of Ulysses, New York, hasZoningOrdinance, yes]
-
A.
hasZoningRestriction
Indicates that an entity is subject to a specific zoning-related limitation or regulatory constraint.
-
B.
hasZoningPolicy
chosen
Indicates that a governing body or authority has established or adopted a specific zoning policy that regulates land use or development within its jurisdiction.
-
C.
zoningAuthority
Indicates that an entity has official power or jurisdiction to regulate land use and development within a specified area.
-
D.
hasIndustrialZoning
Indicates that a given area or property is designated for industrial use under zoning regulations.
-
E.
hasZoningApproach
Indicates the type or method of zoning policy or strategy that is applied to or associated with an 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:02 a.m.