Triple
T8996642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Literary Capital of Alabama |
E214931
|
entity |
| Predicate | reasonForDesignation |
P34507
|
FINISHED |
| Object | hometown of Harper Lee |
—
|
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: hometown of Harper Lee | Statement: [Literary Capital of Alabama, reasonForDesignation, hometown of Harper Lee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForDesignation Context triple: [Literary Capital of Alabama, reasonForDesignation, hometown of Harper Lee]
-
A.
heritageDesignationReason
chosen
Indicates the reason or justification for which something has been granted a particular heritage designation.
-
B.
heritageDesignation
Indicates that an entity has been formally assigned a specific cultural, historical, or heritage protection status by an authority.
-
C.
reasonForPreservation
Indicates that something is being preserved or maintained for a particular reason, purpose, or justification.
-
D.
reasonForSignificance
Indicates that one entity explains or justifies why another entity is important, notable, or significant.
-
E.
reasonForDesign
Indicates that one entity serves as the explanation, motivation, or justification for why another entity was designed or created in a particular way.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68df33c48190a5017426e59c0bc4 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.