Triple
T23542090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Street (Holyoke, Massachusetts) |
E577779
|
entity |
| Predicate | isMainCommercialStreetOf |
P86862
|
FINISHED |
| Object | Holyoke, Massachusetts |
—
|
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: Holyoke, Massachusetts | Statement: [High Street (Holyoke, Massachusetts), isMainCommercialStreetOf, Holyoke, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainCommercialStreetOf Context triple: [High Street (Holyoke, Massachusetts), isMainCommercialStreetOf, Holyoke, Massachusetts]
-
A.
hasMainStreet
Indicates that a place or locality possesses a primary street commonly recognized as its main thoroughfare.
-
B.
hasCentralStreet
chosen
Indicates that a place or area possesses a primary or main street that serves as its central thoroughfare.
-
C.
isShoppingDistrict
Indicates that a location functions primarily as a shopping district, characterized by a concentration of retail stores and commercial shopping activity.
-
D.
isOneOfLongestStreetsIn
Indicates that a street is among the longest streets within a specified area or region.
-
E.
isShoppingStreet
Indicates that a location functions primarily as a street characterized by a concentration of shops and commercial retail activity.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1cb8b48190b51dd83b9fb116fe |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.