Triple
T34586108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maycomb County courtroom |
E888047
|
entity |
| Predicate | hasAudienceSection |
P192802
|
FINISHED |
| Object | white section on main floor |
—
|
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: white section on main floor | Statement: [Maycomb County courtroom, hasAudienceSection, white section on main floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudienceSection Context triple: [Maycomb County courtroom, hasAudienceSection, white section on main floor]
-
A.
hasAudience
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
B.
hasAudiencePolicy
Indicates that there is a specified rule or policy governing which audience or group is allowed to access, view, or receive something.
-
C.
hasAudienceAddress
Indicates that an entity delivers or directs a message, speech, or communication specifically toward a particular audience.
-
D.
hasAudienceFormat
Indicates that an entity is associated with a particular format or medium in which its audience receives or experiences it.
-
E.
hasAudienceAssociation
Indicates that there is a defined relationship between an entity and a specific audience or audience group with which it is associated.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: May 1, 2026, 2:03 a.m.