Triple
T33010287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Dacorum |
E844622
|
entity |
| Predicate | hasUnparishedArea |
P50588
|
FINISHED |
| Object | Hemel Hempstead urban area |
—
|
NE NERFINISHED |
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: Hemel Hempstead urban area | Statement: [Borough of Dacorum, hasUnparishedArea, Hemel Hempstead urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnparishedArea Context triple: [Borough of Dacorum, hasUnparishedArea, Hemel Hempstead urban area]
-
A.
unparishedAreaIncludes
chosen
Indicates that a particular unparished area geographically contains or encompasses another area or entity within its boundaries.
-
B.
hasUnorganizedArea
Indicates that an entity possesses or includes an area that lacks formal organization, structure, or systematic arrangement.
-
C.
hasAllotmentArea
Indicates that an entity is associated with a specific area of land that has been formally allotted or assigned to it.
-
D.
hasSubstantiveArea
Indicates that one entity is associated with, or falls within, a particular substantive field or domain of activity, knowledge, or regulation.
-
E.
hasCadastralArea
Indicates that an entity possesses or is associated with a specific cadastral (official land registry) area measurement.
- F. None of above.
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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 1, 2026, 1:23 a.m.