Triple
T27809856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Critter Country (Disneyland) |
E702488
|
entity |
| Predicate | renamedToCritterCountry |
P163376
|
FINISHED |
| Object | 1988 |
—
|
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: 1988 | Statement: [Critter Country (Disneyland), renamedToCritterCountry, 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renamedToCritterCountry Context triple: [Critter Country (Disneyland), renamedToCritterCountry, 1988]
-
A.
renamingCountry
Indicates that one country is changing its official name to a new one.
-
B.
convertedCountry
Indicates that one country has changed its official or primary religion to another religion or religious affiliation.
-
C.
countryAfterReplacement
Indicates that one country takes the place of another as a successor or replacement in a given context or role.
-
D.
renamedTerritory
Indicates that an existing territory has been given a new official name, linking the former designation to its updated one.
-
E.
remakeCountry
Indicates that one country is a remake, reboot, or re-created version of another country in some defined context.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6383da0e08190a4e394aba4b49348 |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:41 p.m.