Triple
T31230430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petticoat Junction |
E796264
|
entity |
| Predicate | hasFictionalTrain |
P125068
|
FINISHED |
| Object |
Hooterville Cannonball
The Hooterville Cannonball is the quaint, old-fashioned steam train featured in the classic American sitcom "Petticoat Junction," serving as a key setting and symbol of small-town rural life.
|
E1951668
|
NE FINISHED |
How this triple was built (3 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: Hooterville Cannonball | Statement: [Petticoat Junction, hasFictionalTrain, Hooterville Cannonball]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hooterville Cannonball Triple: [Petticoat Junction, hasFictionalTrain, Hooterville Cannonball]
Generated description
The Hooterville Cannonball is the quaint, old-fashioned steam train featured in the classic American sitcom "Petticoat Junction," serving as a key setting and symbol of small-town rural life.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalTrain Context triple: [Petticoat Junction, hasFictionalTrain, Hooterville Cannonball]
-
A.
hasFictionalTransportLink
chosen
Indicates that there is a transportation connection between entities that exists only in a fictional or imagined context.
-
B.
hasFictionalTubeStation
Indicates that an entity features or is associated with a tube (subway) station that exists only in fiction rather than in reality.
-
C.
hasFictionalDriver
Indicates that an entity (such as a vehicle or object) is associated with a driver who is a fictional or imaginary character.
-
D.
availableOnTrainSeries
Indicates that something (such as a service, feature, or resource) is provided or accessible on a specific train series.
-
E.
hasLNGTrain
Indicates that something possesses or is equipped with an LNG (liquefied natural gas) processing or transport train as part of its facilities or infrastructure.
- F. None of above.
Provenance (6 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a295939ef548190b2fdbea5eb4e184d |
completed | June 10, 2026, 12:31 p.m. |
| NEDg | Description generation | batch_6a295d2ada288190aaf4ba844b770666 |
completed | June 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a295e13ebbc8190bba5d5efe052b6ea |
completed | June 10, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: April 29, 2026, 9:10 p.m.