Triple
T12536476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Needham Market |
E299702
|
entity |
| Predicate | hasTraditionalHighStreet |
P461
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Needham Market, hasTraditionalHighStreet, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalHighStreet Context triple: [Needham Market, hasTraditionalHighStreet, true]
-
A.
hasTraditionalPubs
Indicates that one entity possesses, contains, or is associated with traditional pubs.
-
B.
hasTraditionalSouk
Indicates that one entity possesses or contains a traditional souk (marketplace) associated with it.
-
C.
hasTraditionalCommunity
Indicates that an entity possesses or is associated with a community that maintains traditional practices, customs, or ways of life.
-
D.
hasMainStreet
chosen
Indicates that a place or locality possesses a primary street commonly recognized as its main thoroughfare.
-
E.
containsTraditionalCity
Indicates that one entity geographically or administratively includes or encompasses a traditional city within its boundaries.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.