Triple
T10181199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bournemouth Airport |
E236784
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Hurn
Hurn is a village in Dorset, England, known for its rural setting and association with Bournemouth Airport.
|
E845734
|
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: Hurn | Statement: [Bournemouth Airport, locatedNear, Hurn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurn Context triple: [Bournemouth Airport, locatedNear, Hurn]
-
A.
Harput
Harput is an ancient settlement and archaeological site in eastern Turkey known for its historic fortress, churches, and layered cultural heritage spanning multiple civilizations.
-
B.
Hundon
Hundon is a rural village and civil parish located in the English county of Suffolk.
-
C.
Hallglen
Hallglen is a residential area and housing estate within the town of Falkirk in central Scotland.
-
D.
Harburn
Harburn is a small rural village in West Lothian, Scotland, known for its countryside setting and proximity to West Calder.
-
E.
Hodnet
Hodnet is a rural village in Shropshire, England, known for its historic parish church, traditional architecture, and proximity to country estates and parkland.
- 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: Hurn Triple: [Bournemouth Airport, locatedNear, Hurn]
Generated description
Hurn is a village in Dorset, England, known for its rural setting and association with Bournemouth Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hurn Target entity description: Hurn is a village in Dorset, England, known for its rural setting and association with Bournemouth Airport.
-
A.
Harput
Harput is an ancient settlement and archaeological site in eastern Turkey known for its historic fortress, churches, and layered cultural heritage spanning multiple civilizations.
-
B.
Hundon
Hundon is a rural village and civil parish located in the English county of Suffolk.
-
C.
Hallglen
Hallglen is a residential area and housing estate within the town of Falkirk in central Scotland.
-
D.
Harburn
Harburn is a small rural village in West Lothian, Scotland, known for its countryside setting and proximity to West Calder.
-
E.
Hodnet
Hodnet is a rural village in Shropshire, England, known for its historic parish church, traditional architecture, and proximity to country estates and parkland.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded315f14819085727bd9b4363d10 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301373a008190b8d39a8db4167e4f |
completed | April 6, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d3028a4384819094a7daef7287e54f |
completed | April 6, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d302e9d2688190bc292f8f2287c458 |
completed | April 6, 2026, 12:48 a.m. |
Created at: March 30, 2026, 9:11 p.m.