Triple
T33375547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaaton Boulevard |
E854616
|
entity |
| Predicate | isMainCommercialAxisOf |
P176287
|
FINISHED |
| Object | Nahariya |
—
|
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: Nahariya | Statement: [Gaaton Boulevard, isMainCommercialAxisOf, Nahariya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainCommercialAxisOf Context triple: [Gaaton Boulevard, isMainCommercialAxisOf, Nahariya]
-
A.
hasCommercialAxis
Indicates that there exists a primary direction, route, or area along which commercial or business activities are concentrated or organized.
-
B.
isCommercialCapitalOf
Indicates that a location serves as the primary center of commerce, trade, or business activity for another region or entity.
-
C.
isPrimaryCommercialAreaOf
Indicates that one area serves as the main center of commercial activity for another specified place or region.
-
D.
isMajorCommercialStreetOf
chosen
Indicates that a street serves as a primary, heavily used route for commercial activity within a specified area or locality.
-
E.
hasMajorCommercialCentre
Indicates that a place contains or hosts a primary hub of significant commercial or business 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:35 a.m.