Triple
T5617551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heamoor |
E147514
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Madron
Madron is a small village and civil parish in west Cornwall, England, known for its historic church, holy well, and views over the nearby town of Penzance.
|
E531075
|
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: Madron | Statement: [Heamoor, nearbySettlement, Madron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madron Context triple: [Heamoor, nearbySettlement, Madron]
-
A.
Madrona
Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
-
B.
Munxar
Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
-
C.
Mallon
Mallon is an Irish surname most notably associated with Seamus Mallon, a prominent nationalist politician from Northern Ireland.
-
D.
Maullín
Maullín is a small coastal town and commune in southern Chile’s Los Lagos Region, known for its wetlands, rich birdlife, and traditional fishing culture.
-
E.
Mount Martha
Mount Martha is a coastal township on Victoria, Australia’s Mornington Peninsula, known for its beaches, clifftop views, and holiday homes.
- 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: Madron Triple: [Heamoor, nearbySettlement, Madron]
Generated description
Madron is a small village and civil parish in west Cornwall, England, known for its historic church, holy well, and views over the nearby town of Penzance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madron Target entity description: Madron is a small village and civil parish in west Cornwall, England, known for its historic church, holy well, and views over the nearby town of Penzance.
-
A.
Madrona
Madrona is a locality or neighborhood within the municipality of Cernobbio in the Lombardy region of northern Italy, near Lake Como.
-
B.
Munxar
Munxar is a small village on the island of Gozo in Malta, known for its rural character and scenic coastal surroundings.
-
C.
Mallon
Mallon is an Irish surname most notably associated with Seamus Mallon, a prominent nationalist politician from Northern Ireland.
-
D.
Maullín
Maullín is a small coastal town and commune in southern Chile’s Los Lagos Region, known for its wetlands, rich birdlife, and traditional fishing culture.
-
E.
Mount Martha
Mount Martha is a coastal township on Victoria, Australia’s Mornington Peninsula, known for its beaches, clifftop views, and holiday homes.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dc04c081909f36e40394e7c955 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287d9d7081909a1b2510565b55fc |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c03894b9388190bd534ad107722b83 |
completed | March 22, 2026, 6:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0393144248190a97d1f82b81cc868 |
completed | March 22, 2026, 6:47 p.m. |
Created at: March 22, 2026, 3:40 p.m.