Triple
T13948642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nettuno |
E335455
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Ganz |
E497480
|
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: Ganz | Statement: [Nettuno, twinTown, Ganz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganz Context triple: [Nettuno, twinTown, Ganz]
-
A.
Ganz
chosen
Ganz is a German-language surname most notably borne by Swiss actor Bruno Ganz, renowned for his roles in films such as "Wings of Desire" and "Downfall."
-
B.
Gerzen
Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
-
C.
Gunten
Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
-
D.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
-
E.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce917b7881908e1916fe2c597fe4 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.