Triple
T8338351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Styria |
E195845
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Knittelfeld |
E616476
|
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: Knittelfeld | Statement: [Styria, hasCity, Knittelfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knittelfeld Context triple: [Styria, hasCity, Knittelfeld]
-
A.
Knittelfeld
chosen
Knittelfeld is a small town in the Austrian state of Styria known for its industrial heritage and proximity to the Red Bull Ring motor racing circuit.
-
B.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
C.
Beaver Falls
Beaver Falls is a series of striking turquoise-blue waterfalls and pools along Havasu Creek in the Grand Canyon, renowned for their scenic beauty and popularity among hikers visiting Havasupai lands.
-
D.
Beaver Falls
Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
-
E.
Monessen
Monessen is a small industrial city in western Pennsylvania historically known for its steel production along the Monongahela River.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd68e348190a7cb8639a263b50f |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1cf20900819084ab766192f36239 |
completed | April 2, 2026, 7:38 a.m. |
Created at: March 30, 2026, 5:57 p.m.