Triple
T6560617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burley Griffin Way |
E152572
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Temora |
E11960
|
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: Temora | Statement: [Burley Griffin Way, connects, Temora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temora Context triple: [Burley Griffin Way, connects, Temora]
-
A.
Temora
chosen
Temora is a rural town in the Riverina region of New South Wales, Australia, known for its rich agricultural base and aviation heritage.
-
B.
Teanum Sidicinum
Teanum Sidicinum was an important ancient city in Campania, Italy, serving as the chief urban center of the Sidicini people and later becoming a notable Roman municipality.
-
C.
Falciano
Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
-
D.
Trimontium
Trimontium is the ancient Roman name for the city of Philippopolis, located in present-day Plovdiv, Bulgaria.
-
E.
Sermoneta
Sermoneta is a historic hilltop town in Italy’s Lazio region, renowned for its well-preserved medieval architecture and imposing Caetani Castle.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae37a5b0819091692fc5def270b9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb90ffd48190996a64d79f516e2c |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:52 p.m.