Triple
T37998389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Katharine’s by the Tower, London |
E948023
|
entity |
| Predicate | precinctCharacter |
P30854
|
FINISHED |
| Object | densely populated riverside community |
—
|
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: densely populated riverside community | Statement: [St Katharine’s by the Tower, London, precinctCharacter, densely populated riverside community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precinctCharacter Context triple: [St Katharine’s by the Tower, London, precinctCharacter, densely populated riverside community]
-
A.
regionCharacter
chosen
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
-
B.
zoningCharacter
Indicates how the regulatory or functional nature of a geographic area is defined or classified in terms of land-use zoning.
-
C.
character3
Indicates a tertiary or additional character role associated with an entity, typically the third distinct character linked within a given context or work.
-
D.
character2
Indicates that a second character entity is involved in the relationship or context defined by the predicate.
-
E.
spatialCharacter
Indicates a relationship where an entity is characterized or defined by a particular spatial property, configuration, or arrangement.
- 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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.