Triple
T31846215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalon Clinton |
E812948
|
entity |
| Predicate | hasDesignObjective |
P189916
|
FINISHED |
| Object | maintain neighborhood scale along the street |
—
|
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: maintain neighborhood scale along the street | Statement: [Avalon Clinton, hasDesignObjective, maintain neighborhood scale along the street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignObjective Context triple: [Avalon Clinton, hasDesignObjective, maintain neighborhood scale along the street]
-
A.
appliesToDesignGoal
Indicates that something (such as a method, rule, or constraint) is relevant or intended to be used for achieving a particular design goal.
-
B.
haveObjective
chosen
Indicates that an entity possesses, pursues, or is assigned a specific goal or objective.
-
C.
hasDesignIntent
Indicates that one entity embodies or reflects the planned purpose, function, or conceptual intent defined by another entity.
-
D.
overallDesignGoal
Indicates that one entity specifies or represents the primary design objective or guiding design intent for another entity.
-
E.
isObjectiveBased
Indicates that something is determined, structured, or evaluated according to predefined objectives or goals.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 30, 2026, 11:50 p.m.