Triple
T3088281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story Land |
E64426
|
entity |
| Predicate | locatedInCity |
P40
|
FINISHED |
| Object | Chessy |
E177698
|
NE 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: Chessy | Statement: [Toy Story Land, locatedInCity, Chessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chessy Context triple: [Toy Story Land, locatedInCity, Chessy]
-
A.
Chessy
chosen
Chessy is a small commune in the eastern suburbs of Paris, France, best known as the location of Disneyland Paris.
-
B.
Chancy
Chancy is a small Swiss municipality located at the western tip of the canton of Geneva, near the border with France.
-
C.
Chappy
Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
-
D.
Chessie the cat
Chessie the cat is the cartoon kitten mascot famously associated with the Chessie System railroad, often depicted sleeping with the slogan "Sleep like a kitten."
-
E.
Chepes
Chepes is a small city in western Argentina that serves as an important local center within La Rioja Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada209fd24819088d887de0a4158f4 |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8a1fdc48190ae1c2fb9e5198336 |
completed | March 11, 2026, 11:20 p.m. |
Created at: March 8, 2026, 3:03 p.m.