Triple
T22530283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roth district |
E557013
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Thalmässing |
—
|
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: Thalmässing | Statement: [Roth district, hasMunicipality, Thalmässing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalmässing Context triple: [Roth district, hasMunicipality, Thalmässing]
-
A.
Thalmässing
chosen
Thalmässing is a market town in the Roth district of Bavaria, Germany, known for its rural character and historical Franconian heritage.
-
B.
Halblech
Halblech is a river in Bavaria, Germany, known as a tributary of the Ammer.
-
C.
Irongron
Irongron is a brutish, ambitious medieval warlord who serves as the main human antagonist in the Doctor Who serial "The Time Warrior."
-
D.
Altinum
Altinum was an important ancient settlement in northeastern Italy, serving as a key Venetic and later Roman port and trading center near the Venetian lagoon.
-
E.
Samnium
Samnium was an ancient region of south-central Italy inhabited by the Samnites, an Oscan-speaking Italic people known for their wars with the Roman Republic.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed6734881908abbbee477dfab98 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.