Triple
T6721620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allerdale |
E153407
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mosser
Mosser is a small rural locality in the Allerdale district of Cumbria, England.
|
E612831
|
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: Mosser | Statement: [Allerdale, contains, Mosser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosser Context triple: [Allerdale, contains, Mosser]
-
A.
Moser
Moser is a Norwegian surname most prominently associated with Nobel Prize–winning neuroscientists May-Britt and Edvard Moser.
-
B.
Modrow
Modrow is a German surname most notably associated with Hans Modrow, the last communist premier of East Germany.
-
C.
Moissat
Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
D.
Mutso
Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
-
E.
Mordaunt
Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
- 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: Mosser Triple: [Allerdale, contains, Mosser]
Generated description
Mosser is a small rural locality in the Allerdale district of Cumbria, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mosser Target entity description: Mosser is a small rural locality in the Allerdale district of Cumbria, England.
-
A.
Moser
Moser is a Norwegian surname most prominently associated with Nobel Prize–winning neuroscientists May-Britt and Edvard Moser.
-
B.
Modrow
Modrow is a German surname most notably associated with Hans Modrow, the last communist premier of East Germany.
-
C.
Moissat
Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
D.
Mutso
Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
-
E.
Mordaunt
Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d13861a08190ad19a16dcd76c908 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700a14ebc819092cc40f522540f1a |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c7023cc3d08190810fc8482326e7b9 |
completed | March 27, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c703d67ff481908476b97fee97959a |
completed | March 27, 2026, 10:25 p.m. |
Created at: March 27, 2026, 2:07 p.m.