Triple
T25160857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollandsch-Inlandsche School |
E626433
|
entity |
| Predicate | replacedEarlierModel |
P159416
|
FINISHED |
| Object | Inlandsche School |
—
|
NE NERFINISHED |
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: Inlandsche School | Statement: [Hollandsch-Inlandsche School, replacedEarlierModel, Inlandsche School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedEarlierModel Context triple: [Hollandsch-Inlandsche School, replacedEarlierModel, Inlandsche School]
-
A.
replacedEarlierSystems
Indicates that one system has taken the place of and superseded other systems that existed or were in use before it.
-
B.
replacedEarlierCategory
Indicates that one category has been superseded or taken the place of another category that existed earlier.
-
C.
replacedEarlierLight
Indicates that one light source has been substituted or superseded by another light source that existed or was installed earlier in time.
-
D.
developedAsReplacementFor
Indicates that one entity was created or designed specifically to take the place of another entity, serving as its successor or substitute.
-
E.
replacedEarlierTitle
Indicates that one title or designation has been superseded by an earlier title that it replaced in a sequence of naming or labeling.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 18, 2026, 6:31 a.m.