Triple
T10061357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donegal |
E212996
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Dungloe
Dungloe is a coastal town in County Donegal, Ireland, known as a gateway to the Rosses region and for its annual Mary From Dungloe International Festival.
|
E839451
|
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: Dungloe | Statement: [Donegal, hasTown, Dungloe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dungloe Context triple: [Donegal, hasTown, Dungloe]
-
A.
Dhemaji
Dhemaji is a town and district headquarters in the northeastern Indian state of Assam, known for its flood-prone Brahmaputra plains and agricultural landscape.
-
B.
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
-
C.
Manglaur
Manglaur is a town in the Haridwar district of Uttarakhand, India, known for its agricultural surroundings and local trade.
-
D.
Jalpaiguri
Jalpaiguri is a town in northeastern India known as an important administrative and commercial center near the Himalayan foothills.
-
E.
Tawang
Tawang is a remote Himalayan town in northeastern India known for its large 17th-century Buddhist monastery and scenic mountain landscapes near the India–China border.
- 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: Dungloe Triple: [Donegal, hasTown, Dungloe]
Generated description
Dungloe is a coastal town in County Donegal, Ireland, known as a gateway to the Rosses region and for its annual Mary From Dungloe International Festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dungloe Target entity description: Dungloe is a coastal town in County Donegal, Ireland, known as a gateway to the Rosses region and for its annual Mary From Dungloe International Festival.
-
A.
Dhemaji
Dhemaji is a town and district headquarters in the northeastern Indian state of Assam, known for its flood-prone Brahmaputra plains and agricultural landscape.
-
B.
Diphu
Diphu is a town in the Karbi Anglong district of Assam, India, known as an administrative and educational hub in the region.
-
C.
Manglaur
Manglaur is a town in the Haridwar district of Uttarakhand, India, known for its agricultural surroundings and local trade.
-
D.
Jalpaiguri
Jalpaiguri is a town in northeastern India known as an important administrative and commercial center near the Himalayan foothills.
-
E.
Tawang
Tawang is a remote Himalayan town in northeastern India known for its large 17th-century Buddhist monastery and scenic mountain landscapes near the India–China border.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd1fc98819082ec3f2f91151955 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a717f008190907089e1acb32361 |
completed | April 5, 2026, 5:22 p.m. |
| NEDg | Description generation | batch_69d29b75634c819088c8ef750b1691d2 |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29f5007f88190b0330d1a8c551905 |
completed | April 5, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8:57 p.m.