Triple
T10386214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buiksloterham |
E244768
|
entity |
| Predicate | urbanPolicyRole |
P93913
|
FINISHED |
| Object | example of circular neighborhood in Amsterdam |
—
|
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: example of circular neighborhood in Amsterdam | Statement: [Buiksloterham, urbanPolicyRole, example of circular neighborhood in Amsterdam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanPolicyRole Context triple: [Buiksloterham, urbanPolicyRole, example of circular neighborhood in Amsterdam]
-
A.
cityPolicy
Indicates a relationship where a city establishes or is governed by a specific policy, rule, or regulatory framework.
-
B.
roleInUrbanPlan
Indicates the specific function, responsibility, or position an entity holds within an urban planning context or scheme.
-
C.
cityGovernment
Indicates that a city’s governing authority has jurisdiction, control, or administrative responsibility over the referenced entity.
-
D.
urbanRole
Indicates the function, status, or role that an entity holds within an urban or city context.
-
E.
typeOfUrbanPolicy
Indicates the specific category or kind of urban policy that characterizes or governs a given urban-related entity or action.
- F. None of above. chosen
Provenance (4 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a42e748190b10fa7b4ca006bad |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:05 p.m.