Triple
T731880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coventry |
E14847
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Parkes |
E78089
|
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: Parkes | Statement: [Coventry, twinTown, Parkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parkes Context triple: [Coventry, twinTown, Parkes]
-
A.
Parkes
chosen
Parkes is a regional town in central New South Wales, Australia, best known for its nearby radio telescope and annual Elvis Presley Festival.
-
B.
Walcha
Walcha is a rural town in New South Wales, Australia, known for its pastoral farming, cool climate, and location on the Northern Tablelands near the Great Dividing Range.
-
C.
Heathcote
Heathcote is an unincorporated community located within South Brunswick Township in Middlesex County, New Jersey.
-
D.
Kingscliff
Kingscliff is a coastal town in northeastern New South Wales, Australia, known for its beaches, surf breaks, and relaxed holiday atmosphere.
-
E.
Yass
Yass is a historic town in New South Wales, Australia, known as a regional service centre in the Southern Tablelands.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5d5a6b48190a2c81bfc3c6faa25 |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e3df8e48190905f89acbf7f3667 |
completed | March 3, 2026, 4:06 a.m. |
Created at: March 1, 2026, 7:37 p.m.