Triple
T36194895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Plaza |
E1047093
|
entity |
| Predicate | isCommercialAreaAround |
P127310
|
FINISHED |
| Object | Penn Station–Madison Square Garden complex |
—
|
NE NERFINISHED |
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: Penn Station–Madison Square Garden complex | Statement: [Penn Plaza, isCommercialAreaAround, Penn Station–Madison Square Garden complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommercialAreaAround Context triple: [Penn Plaza, isCommercialAreaAround, Penn Station–Madison Square Garden complex]
-
A.
connectsToCommercialArea
Indicates that one location has a direct link, route, or access path to a commercial area.
-
B.
isInBusinessDistrict
Indicates that an entity is located within a designated business or commercial district area.
-
C.
isPrimaryCommercialAreaOf
chosen
Indicates that one area serves as the main center of commercial activity for another specified place or region.
-
D.
isCommercialFacility
Indicates that a facility is used primarily for commercial or business-related activities or services.
-
E.
hasNoCommercialZone
Indicates that the subject area or entity does not contain any designated commercial zone or commercial-use area.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.