Triple
T21727089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lustenau |
E536300
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hohenems |
—
|
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: Hohenems | Statement: [Lustenau, locatedNear, Hohenems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohenems Context triple: [Lustenau, locatedNear, Hohenems]
-
A.
Hohenems
chosen
Hohenems is a small town in the Austrian state of Vorarlberg, known for its historic Jewish quarter and castle.
-
B.
Mittersill
Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
-
C.
Hagenberg
Hagenberg is an Austrian town in Upper Austria known as a regional hub for computer science and technology, hosting institutions such as the Research Institute for Symbolic Computation.
-
D.
Wörgl
Wörgl is a small Austrian town in the state of Tyrol, known for its role in early 20th-century economic experiments with local currency and its location in the Inn Valley near major Alpine ski areas.
-
E.
Ansfelden
Ansfelden is a town in Upper Austria best known as the birthplace of the composer Anton Bruckner.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.