Triple
T3749712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudgee |
E81296
|
entity |
| Predicate | federalDivision |
P1566
|
FINISHED |
| Object | Calare |
E359019
|
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: Calare | Statement: [Mudgee, federalDivision, Calare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calare Context triple: [Mudgee, federalDivision, Calare]
-
A.
Calare
chosen
Calare is an Australian federal electoral division in New South Wales, encompassing a large rural and regional area in the state's central west.
-
B.
Kalaloch
Kalaloch is a coastal area on Washington State’s Olympic Peninsula known for its rugged beaches, scenic ocean views, and proximity to Olympic National Park.
-
C.
Lacedelli
Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
-
D.
Lanin
Lanín is a prominent stratovolcano in the Andes on the border between Argentina and Chile, known for its conical snow-capped peak and popularity among climbers.
-
E.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6d0ac4819092c9a41cc60f518d |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db31f964819087bab143f638754f |
completed | March 14, 2026, 3:51 a.m. |
Created at: March 8, 2026, 3:35 p.m.