Triple
T19037874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrow constituency |
E465922
|
entity |
| Predicate | isMappedWithin |
P101550
|
FINISHED |
| Object | Greater London electoral map |
—
|
LITERAL 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: Greater London electoral map | Statement: [Harrow constituency, isMappedWithin, Greater London electoral map]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMappedWithin Context triple: [Harrow constituency, isMappedWithin, Greater London electoral map]
-
A.
hasMapReference
Indicates that an entity is associated with a specific map or map location reference.
-
B.
includesMap
Indicates that one entity contains or incorporates another entity in the form of a map or mapping structure.
-
C.
hasMapRegion
chosen
Indicates that an entity is associated with, or belongs to, a specific geographic or logical map region.
-
D.
isOnSystemMap
Indicates that an entity is currently displayed or represented on a particular system map.
-
E.
hasOfficialMapping
Indicates that there exists an established, authoritative correspondence or translation between one entity and another.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7fed99c81909495797c604db044 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4a3001e388190aa6057266514e75a |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.