Triple
T35976320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grez-sur-Loing |
E1040427
|
entity |
| Predicate | hasNotableWriterVisitor |
P10455
|
FINISHED |
| Object | Robert Louis Stevenson |
E83007
|
NE 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: Robert Louis Stevenson | Statement: [Grez-sur-Loing, hasNotableWriterVisitor, Robert Louis Stevenson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWriterVisitor Context triple: [Grez-sur-Loing, hasNotableWriterVisitor, Robert Louis Stevenson]
-
A.
hasNotableWriter
chosen
Indicates that an entity is associated with a writer who is recognized as significant or distinguished in some notable way.
-
B.
hasNotableReaderBase
Indicates that an entity is associated with a large, prominent, or otherwise noteworthy group of readers or audience.
-
C.
hasNotableClimberVisitor
Indicates that an entity has been visited or used by at least one climber who is considered notable or distinguished in the climbing community.
-
D.
hasNotableOutput
Indicates that an entity produces or is associated with an output, work, or result that is considered significant or noteworthy.
-
E.
hasNotableSelector
Indicates that an entity is associated with a particularly important or distinguished selector used to identify or access it.
- F. None of above.
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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38b7145a388190a34a5687392fb4c0 |
completed | June 22, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.