Triple
T12597964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Macpherson |
E300782
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Temora |
E756721
|
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: [James Macpherson, notableWork, Temora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temora Context triple: [James Macpherson, notableWork, Temora]
-
A.
Temora
chosen
Temora is an epic poem attributed to the legendary bard Ossian, known for its melancholic tone and romanticized depiction of ancient Gaelic heroism.
-
B.
Temora
Temora is a rural town in the Riverina region of New South Wales, Australia, known for its rich agricultural base and aviation heritage.
-
C.
Soluntum
Soluntum was an important ancient Punic city on the northern coast of Sicily, known as a major center of Carthaginian presence on the island.
-
D.
Glanum
Glanum is an ancient Greco-Roman city in southern France known for its well-preserved ruins and monumental architecture.
-
E.
Argiletum
Argiletum was an ancient street in Rome that connected the Roman Forum to the Subura district and later became partly occupied by the Forum of Nerva.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d096d08190afa1f685bad68d35 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec75fc08190aa13cbb0161eb35c |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:08 p.m.