Triple
T116118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverina |
E2341
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Temora
Temora is a rural town in the Riverina region of New South Wales, Australia, known for its rich agricultural base and aviation heritage.
|
E11960
|
NE FINISHED |
How this triple was built (4 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: [Riverina, hasTown, Temora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temora Context triple: [Riverina, hasTown, Temora]
-
A.
Val-Kill
Val-Kill is the Hyde Park, New York retreat that served as Eleanor Roosevelt’s personal home and later became a national historic site honoring her life and work.
-
B.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
C.
Inchcolm
Inchcolm is a small Scottish island in the Firth of Forth best known for its well-preserved medieval abbey and historic fortifications.
-
D.
Leptis Magna
Leptis Magna is an exceptionally well-preserved ancient Roman city on the Mediterranean coast, renowned for its grand architecture and archaeological significance.
-
E.
Tarascon
Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Temora Triple: [Riverina, hasTown, Temora]
Generated description
Temora is a rural town in the Riverina region of New South Wales, Australia, known for its rich agricultural base and aviation heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Temora Target entity description: Temora is a rural town in the Riverina region of New South Wales, Australia, known for its rich agricultural base and aviation heritage.
-
A.
Val-Kill
Val-Kill is the Hyde Park, New York retreat that served as Eleanor Roosevelt’s personal home and later became a national historic site honoring her life and work.
-
B.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
C.
Inchcolm
Inchcolm is a small Scottish island in the Firth of Forth best known for its well-preserved medieval abbey and historic fortifications.
-
D.
Leptis Magna
Leptis Magna is an exceptionally well-preserved ancient Roman city on the Mediterranean coast, renowned for its grand architecture and archaeological significance.
-
E.
Tarascon
Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
- F. None of above. chosen
Provenance (5 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a256f1278881909dc9c17113d2cca2 |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a285012e5881909b19f6c49a2373e1 |
completed | Feb. 28, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_69a2855c20148190986af3f8ecbbfa3e |
completed | Feb. 28, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a285eb39388190908db5db5673dde7 |
completed | Feb. 28, 2026, 6:06 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.