Triple
T15459877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ham, London |
E371867
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object | Ham Lands |
E677006
|
NE FINISHED |
How this triple was built (2 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: Ham Lands | Statement: [Ham, London, hasGreenSpace, Ham Lands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ham Lands Context triple: [Ham, London, hasGreenSpace, Ham Lands]
-
A.
Ham Lands
chosen
Ham Lands is a large riverside nature reserve and public open space in Ham, southwest London, known for its diverse wildlife habitats and recreational walking areas along the Thames.
-
B.
Hageland
Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
-
C.
Jerrys Plains
Jerrys Plains is a small rural village in New South Wales, Australia, known for its agricultural lands, horse studs, and proximity to the Hunter Valley wine region.
-
D.
Hunter Hills
Hunter Hills is a rural hilly area in South Canterbury, New Zealand, known for its pastoral farmland and scenic landscapes near the town of Waimate.
-
E.
Vidzeme Upland
Vidzeme Upland is a hilly highland region in northeastern Latvia known for containing the country’s highest elevations and scenic landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b9817c819082e5c571b08bafb5 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:32 a.m.