Triple
T5194165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irondale Cafe |
E117226
|
entity |
| Predicate | settingRelation |
P62005
|
FINISHED |
| Object | near railroad tracks in Irondale, Alabama |
—
|
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: near railroad tracks in Irondale, Alabama | Statement: [Irondale Cafe, settingRelation, near railroad tracks in Irondale, Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingRelation Context triple: [Irondale Cafe, settingRelation, near railroad tracks in Irondale, Alabama]
-
A.
definesRelationshipBetween
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
-
B.
stepRelation
Indicates a relationship where one entity is a step-relative of another, such as a stepparent, stepchild, or stepsibling connection.
-
C.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
D.
identityRelation
Indicates that two entities are in fact the very same entity, not merely similar or equivalent.
-
E.
laterRelationWith
Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79f142488190bc6c57b8ff7ef894 |
completed | March 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:46 p.m.