Triple
T14207770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leasowe |
E352142
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Moreton |
E347836
|
NE 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: Moreton | Statement: [Leasowe, locatedNear, Moreton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moreton Context triple: [Leasowe, locatedNear, Moreton]
-
A.
Moreton
chosen
Moreton is a suburban area on the Wirral Peninsula in Merseyside, England, known for its residential character and coastal proximity.
-
B.
Moreton
Moreton is an English surname historically associated with British nobility, including figures such as Lady Byng of Vimy.
-
C.
Elizabeth Bay
Elizabeth Bay is a harbourside suburb in Sydney, Australia, known for its waterfront views, historic apartment buildings, and proximity to the city centre.
-
D.
Caloundra
Caloundra is a coastal town at the southern end of Queensland’s Sunshine Coast, known for its family-friendly beaches and relaxed holiday atmosphere.
-
E.
Portsea
Portsea is an affluent coastal resort town on Victoria’s Mornington Peninsula, known for its beaches, holiday homes, and proximity to Port Phillip Heads.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd195301e88190a5ef034253275fb0 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.