Triple
T16531357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lundenwic |
E401572
|
entity |
| Predicate | urbanCharacteristics |
P9356
|
FINISHED |
| Object | planned street system (partly reconstructed) |
—
|
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: planned street system (partly reconstructed) | Statement: [Lundenwic, urbanCharacteristics, planned street system (partly reconstructed)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanCharacteristics Context triple: [Lundenwic, urbanCharacteristics, planned street system (partly reconstructed)]
-
A.
neighborhoodCharacteristic
chosen
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
-
B.
urbanAreaType
Indicates the classification of an area based on its urban characteristics or development type (e.g., city, town, suburb, metropolitan region).
-
C.
hasSuburbanCharacter
Indicates that something possesses qualities or features typically associated with suburban areas, such as lower density, residential focus, and car-oriented development.
-
D.
hasUrbanGrowthCharacteristic
Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
-
E.
urbanContrastWith
Indicates a contrast or sharp difference between two urban environments, such as in character, form, density, or visual appearance.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed8075c81908ff47396879abd0c |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.