Triple
T35869029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeira archipelago urban network |
E1037169
|
entity |
| Predicate | planningDomain |
P193024
|
FINISHED |
| Object | regional planning |
—
|
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: regional planning | Statement: [Madeira archipelago urban network, planningDomain, regional planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planningDomain Context triple: [Madeira archipelago urban network, planningDomain, regional planning]
-
A.
planningSystem
Indicates that an entity functions as or is associated with a system responsible for organizing, scheduling, or coordinating plans or activities.
-
B.
abstractDomain
Indicates that one domain or conceptual space is a higher-level, generalized abstraction of another more concrete or specific domain.
-
C.
planningSkill
Indicates the degree to which an entity is capable of effectively organizing, sequencing, and coordinating actions or resources to achieve goals.
-
D.
planning
Indicates that an entity is engaged in organizing or devising a future action, event, or course of behavior involving another entity or entities.
-
E.
domainOfInterpretation
Indicates that the specified set constitutes the universe of discourse over which all variables and quantifiers in a logical system are interpreted.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: May 3, 2026, 4:06 p.m.