Triple
T3703297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shreveport |
E80831
|
entity |
| Predicate | hasRiverboatCasinos |
P24207
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Shreveport, hasRiverboatCasinos, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverboatCasinos Context triple: [Shreveport, hasRiverboatCasinos, true]
-
A.
hasCasino
chosen
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
B.
hasBoatRides
Indicates that one entity offers, provides, or features boat rides in relation to another entity.
-
C.
hasBoatLine
Indicates that one entity operates, owns, or is associated with a particular boat service or boat route line.
-
D.
hasPier
Indicates that a location or structure possesses or includes a pier as part of its features.
-
E.
majorCasinoOperatorPresence
Indicates that a major casino operator has an established operational or business presence in relation to the referenced entity or location.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54925b48190b23d2a14ef825abc |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adb84eeca48190bb4de637e9f0e27a |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:33 p.m.