Triple
T962895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derbyshire |
E20773
|
entity |
| Predicate | containsMountain |
P10602
|
FINISHED |
| Object |
Mam Tor
Mam Tor is a prominent hill in the Peak District of England, noted for its dramatic landslips, Iron Age hillfort, and extensive walking trails with panoramic views.
|
E113158
|
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: Mam Tor | Statement: [Derbyshire, containsMountain, Mam Tor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mam Tor Context triple: [Derbyshire, containsMountain, Mam Tor]
-
A.
Maerdy
Maerdy is a former coal mining village located at the head of the Rhondda Fach valley in Rhondda Cynon Taf, South Wales.
-
B.
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
C.
Wrekin
Wrekin is a prominent hill and well-known local landmark in Shropshire, England, famed for its panoramic views and associated folklore.
-
D.
Aran Fawddwy
Aran Fawddwy is a prominent mountain in southern Snowdonia, Wales, known for being one of the highest peaks in the region outside the main Snowdon massif.
-
E.
Cross Fell
Cross Fell is a prominent mountain in northern England known for its harsh weather conditions and expansive views over the surrounding Pennine landscape.
- 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: Mam Tor Triple: [Derbyshire, containsMountain, Mam Tor]
Generated description
Mam Tor is a prominent hill in the Peak District of England, noted for its dramatic landslips, Iron Age hillfort, and extensive walking trails with panoramic views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mam Tor Target entity description: Mam Tor is a prominent hill in the Peak District of England, noted for its dramatic landslips, Iron Age hillfort, and extensive walking trails with panoramic views.
-
A.
Maerdy
Maerdy is a former coal mining village located at the head of the Rhondda Fach valley in Rhondda Cynon Taf, South Wales.
-
B.
Snowdon
Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
-
C.
Wrekin
Wrekin is a prominent hill and well-known local landmark in Shropshire, England, famed for its panoramic views and associated folklore.
-
D.
Aran Fawddwy
Aran Fawddwy is a prominent mountain in southern Snowdonia, Wales, known for being one of the highest peaks in the region outside the main Snowdon massif.
-
E.
Cross Fell
Cross Fell is a prominent mountain in northern England known for its harsh weather conditions and expansive views over the surrounding Pennine landscape.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b416cf4c8190bd685227db25fb53 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a6107481909b152291a73958d3 |
completed | March 7, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69ac12c5978481909be2d6e1ce85acd5 |
completed | March 7, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac132f09448190b5f789f90328f81f |
completed | March 7, 2026, 11:59 a.m. |
Created at: March 1, 2026, 7:40 p.m.