Triple
T9037450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meeting Across the River |
E216532
|
entity |
| Predicate | hasInstrumentationStyle |
P62771
|
FINISHED |
| Object | sparse arrangement |
—
|
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: sparse arrangement | Statement: [Meeting Across the River, hasInstrumentationStyle, sparse arrangement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstrumentationStyle Context triple: [Meeting Across the River, hasInstrumentationStyle, sparse arrangement]
-
A.
hasSystemStyle
Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
-
B.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
C.
hasTypeOfInstrumentation
chosen
Indicates that one entity uses, involves, or is characterized by a particular type of instrumentation.
-
D.
supportsDynamicInstrumentation
Indicates that an entity is capable of being instrumented or monitored at runtime without requiring recompilation or restart.
-
E.
hasContractStyle
Indicates that one entity is associated with or characterized by a particular contract style or contractual format.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac1f08c8190be0e37115df11f31 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:08 p.m.