Triple
T9285861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salesforce Transit Center |
E223392
|
entity |
| Predicate | rooftopParkLength |
P30832
|
FINISHED |
| Object | approximately 5.4 acres |
—
|
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: approximately 5.4 acres | Statement: [Salesforce Transit Center, rooftopParkLength, approximately 5.4 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rooftopParkLength Context triple: [Salesforce Transit Center, rooftopParkLength, approximately 5.4 acres]
-
A.
hasRooftopSpace
Indicates that an entity includes or provides an accessible rooftop area intended for use or occupancy.
-
B.
helipadLength
Indicates the measured longitudinal extent of a helipad, typically expressed as its length in specific units.
-
C.
hasRooftop
Indicates that one entity possesses or is equipped with a rooftop as a structural feature.
-
D.
hasParkArea
chosen
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
-
E.
isLargestParkOf
Indicates that a park is the largest park within a specified area, region, or administrative 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0821b1108190b16e9570b09a14de |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.