Triple
T34870900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helgoland red sandstone cliffs |
E1005749
|
entity |
| Predicate | famousSeaStack |
P15718
|
FINISHED |
| Object |
Lange Anna
Lange Anna is a towering red sandstone sea stack off the German island of Helgoland, renowned as a striking coastal landmark and tourist attraction.
|
E2114586
|
NE FINISHED |
How this triple was built (3 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: Lange Anna | Statement: [Helgoland red sandstone cliffs, famousSeaStack, Lange Anna]
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: Lange Anna Triple: [Helgoland red sandstone cliffs, famousSeaStack, Lange Anna]
Generated description
Lange Anna is a towering red sandstone sea stack off the German island of Helgoland, renowned as a striking coastal landmark and tourist attraction.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousSeaStack Context triple: [Helgoland red sandstone cliffs, famousSeaStack, Lange Anna]
-
A.
hasSeaStack
chosen
Indicates that a coastal location features one or more sea stacks, i.e., isolated steep rock columns standing in the sea near the shore.
-
B.
snowpack
Indicates the amount or presence of accumulated snow on the ground or a surface, typically persisting over a period of time.
-
C.
notableFramework
Indicates that an entity is a well-known or influential framework associated with another entity (such as a person, project, or organization).
-
D.
webFramework
Indicates that one entity is a web framework used to build or support web applications for the other entity.
-
E.
frontEndFor
Indicates that one entity serves as the user-facing interface or access point through which another underlying system, service, or component is used or interacted with.
- F. None of above.
Provenance (6 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a377964aa4c8190bde38a89e65cdaa1 |
completed | June 21, 2026, 5:40 a.m. |
| NEDg | Description generation | batch_6a3779e934608190a47820caf0a37336 |
completed | June 21, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a377a9db9908190882e67871a681bcb |
completed | June 21, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.