Triple
T5807413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemish Brabant |
E128778
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Hageland
Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
|
E547481
|
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: Hageland | Statement: [Flemish Brabant, hasSubregion, Hageland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hageland Context triple: [Flemish Brabant, hasSubregion, Hageland]
-
A.
Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
-
B.
Rollag
Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
-
C.
Reiderland
Reiderland was a former municipality in the province of Groningen in the northeastern Netherlands, later incorporated into the municipality of Oldambt.
-
D.
Stangeland
Stangeland is a locality within the municipality of Karmøy in Rogaland county, Norway.
-
E.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord 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: Hageland Triple: [Flemish Brabant, hasSubregion, Hageland]
Generated description
Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hageland Target entity description: Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
-
A.
Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
-
B.
Rollag
Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
-
C.
Reiderland
Reiderland was a former municipality in the province of Groningen in the northeastern Netherlands, later incorporated into the municipality of Oldambt.
-
D.
Stangeland
Stangeland is a locality within the municipality of Karmøy in Rogaland county, Norway.
-
E.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0983ded9c8190b37372627c1e3a50 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c0990bf38081908c09c5dfe660c35b |
completed | March 23, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099bd26fc8190a58bf483a6d4cbca |
completed | March 23, 2026, 1:39 a.m. |
Created at: March 22, 2026, 3:52 p.m.