Triple
T3004997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shina |
E81878
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object |
Brokskat
Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
|
E318538
|
NE FINISHED |
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: Brokskat | Statement: [Shina, closelyRelatedTo, Brokskat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brokskat Context triple: [Shina, closelyRelatedTo, Brokskat]
-
A.
Barkarby
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Schierke
Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
-
D.
Rombaken
Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
-
E.
Meekknoken
Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
- 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: Brokskat Triple: [Shina, closelyRelatedTo, Brokskat]
Generated description
Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brokskat Target entity description: Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
-
A.
Barkarby
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Schierke
Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
-
D.
Rombaken
Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
-
E.
Meekknoken
Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
- F. None of above. chosen
Provenance (5 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a15ad9c81908255003bdb38d603 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e56bbd881909680248acca30557 |
completed | March 11, 2026, 8:56 a.m. |
| NEDg | Description generation | batch_69b12f07ec088190a63e30f8a1f7937a |
completed | March 11, 2026, 8:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1cb6571388190970bae846bfc57a2 |
completed | March 11, 2026, 8:07 p.m. |
Created at: March 8, 2026, 2:59 p.m.