Triple
T15693855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Wacker Drive |
E380403
|
entity |
| Predicate | zoningTypeAlong |
P72151
|
FINISHED |
| Object | commercial |
—
|
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: commercial | Statement: [South Wacker Drive, zoningTypeAlong, commercial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoningTypeAlong Context triple: [South Wacker Drive, zoningTypeAlong, commercial]
-
A.
zoningAlong
chosen
Indicates that one entity’s zoning designation applies to or runs alongside the boundary, corridor, or extent of another entity (such as a road, parcel, or geographic feature).
-
B.
zoningCharacter
Indicates how the regulatory or functional nature of a geographic area is defined or classified in terms of land-use zoning.
-
C.
zoningAuthority
Indicates that an entity has official power or jurisdiction to regulate land use and development within a specified area.
-
D.
hasZoningRestriction
Indicates that an entity is subject to a specific zoning-related limitation or regulatory constraint.
-
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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.