Triple
T18480924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennengau |
E451553
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Pongau |
—
|
NE NERFINISHED |
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: Pongau | Statement: [Tennengau, borders, Pongau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pongau Context triple: [Tennengau, borders, Pongau]
-
A.
Pongau
chosen
Pongau is a mountainous district in the Austrian state of Salzburg, known for its Alpine landscapes, ski resorts, and traditional towns.
-
B.
Pegau
Pegau is a small historic town in the German state of Saxony, known for its medieval architecture and location near Leipzig.
-
C.
Pangai
Pangai is the main administrative and population center of the Haʻapai island group in the Kingdom of Tonga.
-
D.
Pangnirtung
Pangnirtung is a small Inuit hamlet on Baffin Island in Nunavut, Canada, known for its dramatic Arctic landscapes, traditional culture, and renowned printmaking and weaving arts.
-
E.
Pangi
Pangi is a barangay (village-level administrative division) in the municipality of Maitum in the Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d3d13c81909c52d797360b840a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.