Triple
T4255255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawley |
E95957
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Tilgate
Tilgate is a residential neighbourhood and parkland area in the town of Crawley in West Sussex, England, known for Tilgate Park and its lakes and woodlands.
|
E424425
|
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: Tilgate | Statement: [Crawley, hasNeighbourhood, Tilgate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilgate Context triple: [Crawley, hasNeighbourhood, Tilgate]
-
A.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
B.
Nordingrå
Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
-
C.
Dragsvik
Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
-
D.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
E.
Haugalandet
Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
- 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: Tilgate Triple: [Crawley, hasNeighbourhood, Tilgate]
Generated description
Tilgate is a residential neighbourhood and parkland area in the town of Crawley in West Sussex, England, known for Tilgate Park and its lakes and woodlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tilgate Target entity description: Tilgate is a residential neighbourhood and parkland area in the town of Crawley in West Sussex, England, known for Tilgate Park and its lakes and woodlands.
-
A.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
B.
Nordingrå
Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
-
C.
Dragsvik
Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
-
D.
Bremsnes
Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
-
E.
Haugalandet
Haugalandet is a coastal region in western Norway centered around the town of Haugesund, known for its maritime heritage and North Sea industries.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a887703c81909a40f23f83154b8c |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a8ffd4508190b33117d3fc963b3d |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a9754d5c8190b1ab724a4758c22a |
completed | March 14, 2026, 6:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.