Triple
T13966115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jilliby |
E335927
|
entity |
| Predicate | federalDivision |
P1566
|
FINISHED |
| Object | Dobell |
E1072108
|
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: Dobell | Statement: [Jilliby, federalDivision, Dobell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobell Context triple: [Jilliby, federalDivision, Dobell]
-
A.
Dobell
chosen
Dobell is an Australian federal electoral division in New South Wales, named after the artist Sir William Dobell and encompassing parts of the Central Coast region.
-
B.
Dobley
Dobley is a significant urban center in Somalia's Jubaland region, serving as an important local hub for trade and administration.
-
C.
Doyall
Doyall is a less common variant spelling of the surname Doyle, which is of Irish origin.
-
D.
Hartley
Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
-
E.
Hartley
Hartley is a village in north-west Kent, England, known for its rural character and residential communities within commuting distance of London.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac8e47d48190a1d5e841810fe50c |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.