Triple
T7667564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell is Real Derby |
E173660
|
entity |
| Predicate | derbyNameOrigin |
P3325
|
FINISHED |
| Object | roadside religious billboard on I-71 |
—
|
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: roadside religious billboard on I-71 | Statement: [Hell is Real Derby, derbyNameOrigin, roadside religious billboard on I-71]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derbyNameOrigin Context triple: [Hell is Real Derby, derbyNameOrigin, roadside religious billboard on I-71]
-
A.
districtNameOrigin
Indicates that the relationship specifies the origin or source from which a district’s name is derived.
-
B.
nameEtymologyFor
Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
-
C.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
D.
possibleNameEtymology
Indicates a hypothesized or suggested origin or derivation of an entity’s name from another term, source, or linguistic root.
-
E.
hasBayNameEtymology
Indicates that the name of an entity is etymologically derived from, or named after, a particular bay.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.