Triple
T36529558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Finch |
E900403
|
entity |
| Predicate | isSetInWorkLocation |
P88991
|
FINISHED |
| Object | Maycomb, Alabama |
—
|
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: Maycomb, Alabama | Statement: [Mrs. Finch, isSetInWorkLocation, Maycomb, Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSetInWorkLocation Context triple: [Mrs. Finch, isSetInWorkLocation, Maycomb, Alabama]
-
A.
appliedToWorkCurrentLocation
Indicates that an application was submitted for a job or position at the entity’s current work location.
-
B.
residesInWork
Indicates that a person or entity lives or is based within the location, setting, or environment defined by a particular work (such as a book, film, or other creative piece).
-
C.
locationInWork
chosen
Indicates that one entity specifies the place or setting where another entity occurs, is situated, or takes place within a particular work (e.g., a scene’s location in a film or a chapter’s setting in a book).
-
D.
setInPlaceOfWork
Indicates that an entity is assigned or located at a specific place of work in place of another entity.
-
E.
establishedInWork
Indicates that something (such as a concept, character, organization, or rule) is first introduced, defined, or formally created within a particular work (e.g., a book, film, or other creative or scholarly work).
- 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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.