Triple
T17360891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dig Your Own Hole |
E422062
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Elektrobank |
—
|
NE ONDG |
How this triple was built (4 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: Elektrobank | Statement: [Dig Your Own Hole, hasPart, Elektrobank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elektrobank Context triple: [Dig Your Own Hole, hasPart, Elektrobank]
-
A.
Posener Bank
Posener Bank was a German financial institution that played a key role in early 20th-century aviation finance by helping to establish the world’s first airline, DELAG.
-
B.
DekaBank
DekaBank is a major German financial institution that serves as the central asset manager for the country’s savings banks network.
-
C.
Laiki Bank
Laiki Bank was a major Cypriot bank that collapsed during the 2012–2013 Cypriot financial crisis, becoming one of the most prominent examples of bank failure and restructuring in the eurozone.
-
D.
DZ Bank
DZ Bank is a major German cooperative central bank that serves as the central institution for numerous cooperative banks and financial services providers across Germany.
-
E.
Aurora Bank
Aurora Bank is a notable geological feature within the Scotia Arc, forming part of the submarine topography in the South Atlantic region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elektrobank Triple: [Dig Your Own Hole, hasPart, Elektrobank]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elektrobank Target entity description: "Elektrobank" is a high-energy electronic track by The Chemical Brothers, known for its breakbeat-driven sound and iconic Spike Jonze–directed music video featuring a gymnastics competition.
-
A.
Posener Bank
Posener Bank was a German financial institution that played a key role in early 20th-century aviation finance by helping to establish the world’s first airline, DELAG.
-
B.
DekaBank
DekaBank is a major German financial institution that serves as the central asset manager for the country’s savings banks network.
-
C.
Laiki Bank
Laiki Bank was a major Cypriot bank that collapsed during the 2012–2013 Cypriot financial crisis, becoming one of the most prominent examples of bank failure and restructuring in the eurozone.
-
D.
DZ Bank
DZ Bank is a major German cooperative central bank that serves as the central institution for numerous cooperative banks and financial services providers across Germany.
-
E.
Aurora Bank
Aurora Bank is a notable geological feature within the Scotia Arc, forming part of the submarine topography in the South Atlantic region.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.