Triple
T19187836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna city walls |
E469750
|
entity |
| Predicate | notableGate |
P24982
|
FINISHED |
| Object | Stubentor |
—
|
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: Stubentor | Statement: [Vienna city walls, notableGate, Stubentor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stubentor Context triple: [Vienna city walls, notableGate, Stubentor]
-
A.
Stubentor
chosen
Stubentor is a historic former city gate site in Vienna’s Innere Stadt, now known as a central U-Bahn station and landmark.
-
B.
Tengster
Tengster is an alternative name for Taktser, a village in the Amdo region of northeastern Tibet best known as the birthplace of the 14th Dalai Lama.
-
C.
Lo-Toga
Lo-Toga is an Oceanic language spoken on the Torres Islands in northern Vanuatu.
-
D.
Tuber
Tuber is a genus of ectomycorrhizal fungi best known for producing truffles, highly prized edible subterranean fruiting bodies.
-
E.
Trebor
Trebor is a well-known confectionery brand, particularly recognized for its mints and boiled sweets.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f89f3ebc8190ba01ae075ffc77df |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.