Triple
T5335629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 Winter Paralympics |
E123818
|
entity |
| Predicate | hostVenue |
P373
|
FINISHED |
| Object | Igls |
E401047
|
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: Igls | Statement: [1984 Winter Paralympics, hostVenue, Igls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igls Context triple: [1984 Winter Paralympics, hostVenue, Igls]
-
A.
Igls
chosen
Igls is an Austrian alpine village near Innsbruck known for its winter sports facilities and role in hosting Olympic events.
-
B.
Zell am See
Zell am See is a popular Austrian alpine town and lakeside resort known for its scenic mountain setting, skiing, and outdoor recreation.
-
C.
Oberstdorf
Oberstdorf is a renowned alpine resort town in southern Germany known for skiing, ski jumping, and hiking amid dramatic mountain scenery.
-
D.
Kufstein
Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German border.
-
E.
Ischl
The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85af799081909ee60bfbb65149ee |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4873ff0881908390c12767e18bb5 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2 p.m.