Triple
T12888140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heringsdorf |
E308284
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bansin |
E275805
|
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: Bansin | Statement: [Heringsdorf, hasPart, Bansin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bansin Context triple: [Heringsdorf, hasPart, Bansin]
-
A.
Bansin
chosen
Bansin is a seaside resort town on Germany’s Baltic Sea coast, known as one of the “Kaiserbäder” (Imperial Spas) on the island of Usedom.
-
B.
Bansha
Bansha is a small rural village in County Tipperary, Ireland, known for its scenic setting near the Galtee Mountains and its traditional Irish community character.
-
C.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
-
D.
Wansin
Wansin is a village in the municipality of Hannut in the province of Liège, Belgium.
-
E.
Balgüe
Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714581988190afc720ffd7797860 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5576ae4819084914697b2e86d9f |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:39 p.m.