Triple
T7787263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point McLeay |
E187277
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Raukkan |
E168093
|
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: Raukkan | Statement: [Point McLeay, hasAlternativeName, Raukkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raukkan Context triple: [Point McLeay, hasAlternativeName, Raukkan]
-
A.
Raukkan
chosen
Raukkan is a historic Aboriginal community in South Australia, significant as a cultural and spiritual center for the Ngarrindjeri people.
-
B.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
C.
Haukeli
Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
-
D.
Raskens
Raskens is a novel by Swedish author Vilhelm Moberg that portrays the harsh life and inner struggles of a 19th-century Swedish soldier and farmer.
-
E.
Karosta
Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf6123ad48190a50339073e91748c |
completed | March 30, 2026, 10:15 p.m. |
Created at: March 30, 2026, 4:24 p.m.