Triple
T25101679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldfield Park |
E628741
|
entity |
| Predicate | hasMainShoppingStreet |
P86862
|
FINISHED |
| Object | Moorland Road |
—
|
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: Moorland Road | Statement: [Oldfield Park, hasMainShoppingStreet, Moorland Road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainShoppingStreet Context triple: [Oldfield Park, hasMainShoppingStreet, Moorland Road]
-
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.
hasShoppingDistrict
Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
-
D.
hasShoppingStreetLength
Indicates the length or extent of a shopping street associated with a given place or area.
-
E.
hasShoppingDistrictName
Indicates that an entity’s shopping district is identified by a specific name.
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 18, 2026, 6:25 a.m.