Triple
T6266221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcode skyline |
E140418
|
entity |
| Predicate | hasPlanningGoal |
P69054
|
FINISHED |
| Object | maintain views and light between buildings |
—
|
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 views and light between buildings | Statement: [Barcode skyline, hasPlanningGoal, maintain views and light between buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlanningGoal Context triple: [Barcode skyline, hasPlanningGoal, maintain views and light between buildings]
-
A.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
B.
hasPlanningConcept
Indicates that an entity is associated with, defined by, or governed by a particular planning-related concept or framework.
-
C.
hasPlanningStatus
Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
-
D.
hasOperationalGoal
Indicates that an entity is associated with a specific objective or target it aims to achieve through its operations or activities.
-
E.
hasPlanningCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639fdad081908492c44d369df8c5 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:25 p.m.