Triple
T14063786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woy Woy Wharf |
E338410
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Davistown |
E1068524
|
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: Davistown | Statement: [Woy Woy Wharf, connectsTo, Davistown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davistown Context triple: [Woy Woy Wharf, connectsTo, Davistown]
-
A.
Davistown
chosen
Davistown is a small coastal suburb on the Central Coast of New South Wales, Australia, known for its waterfront setting and residential character.
-
B.
Minersville
Minersville is a small community located within Beaver County in the state of Utah, United States.
-
C.
Knittelfeld
Knittelfeld is a small town in the Austrian state of Styria known for its industrial heritage and proximity to the Red Bull Ring motor racing circuit.
-
D.
Diggstown
Diggstown is a 1992 sports comedy-drama film centered on a high-stakes boxing con set in a small Southern town.
-
E.
Leedsville
Leedsville is a small hamlet within the rural Town of Amenia in Dutchess County, New York.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5689c7f48190a47ca94eaa8a9ef9 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6673de881909653c7691422b800 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.