Triple
T12665517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South West Wiltshire |
E302542
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Mere
Mere is a small historic market town in southwest Wiltshire, England, known for its rural setting near the borders of Dorset and Somerset.
|
E996502
|
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: Mere | Statement: [South West Wiltshire, hasTown, Mere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mere Context triple: [South West Wiltshire, hasTown, Mere]
-
A.
Mere
Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
-
B.
Mera
Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
-
C.
Mera
Mera is a town in Ecuador that serves as the administrative and commercial center of Mera Canton in Pastaza Province.
-
D.
Ménaka
Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
-
E.
Marli
Marli is a given name commonly used as a feminine first name in various cultures.
- 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: Mere Triple: [South West Wiltshire, hasTown, Mere]
Generated description
Mere is a small historic market town in southwest Wiltshire, England, known for its rural setting near the borders of Dorset and Somerset.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mere Target entity description: Mere is a small historic market town in southwest Wiltshire, England, known for its rural setting near the borders of Dorset and Somerset.
-
A.
Mere
Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
-
B.
Mera
Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
-
C.
Mera
Mera is a town in Ecuador that serves as the administrative and commercial center of Mera Canton in Pastaza Province.
-
D.
Ménaka
Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
-
E.
Marli
Marli is a given name commonly used as a feminine first name in various cultures.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617e030881908444743b8a7e0d75 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688a19148190b8d252d3706d2b05 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f669f69fe4819097dfc63780e8587e |
completed | May 2, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b619c88819098acbfb60fac9921 |
completed | May 2, 2026, 9:23 p.m. |
Created at: April 9, 2026, 5:19 p.m.