Triple
T29738577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNA |
E752535
|
entity |
| Predicate | topologyStyle |
P153517
|
FINISHED |
| Object | hierarchical |
—
|
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: hierarchical | Statement: [SNA, topologyStyle, hierarchical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topologyStyle Context triple: [SNA, topologyStyle, hierarchical]
-
A.
featuresStyle
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
-
B.
terrainStyle
Indicates the characteristic type or pattern of terrain associated with an entity or location.
-
C.
visualizationStyle
chosen
Indicates how an entity is visually represented or styled in a visualization or graphical context.
-
D.
symbolicStyle
Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
-
E.
featuresStyleElement
Indicates that one entity includes or incorporates a particular style-related element as part of its composition or design.
- 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f673361d10819085c3915531150531 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:46 p.m.