Triple
T4902220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galápagos Province |
E109826
|
entity |
| Predicate | specialStatus |
P6973
|
FINISHED |
| Object | special regime of Ecuador |
—
|
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: special regime of Ecuador | Statement: [Galápagos Province, specialStatus, special regime of Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialStatus Context triple: [Galápagos Province, specialStatus, special regime of Ecuador]
-
A.
specialValue
Indicates that an entity possesses a distinguished or exceptional value compared to typical or default values in the given context.
-
B.
specialAppearance
Indicates that an entity makes a notable or exceptional appearance distinct from its usual or regular presence.
-
C.
hadSpecialStatusIn
chosen
Indicates that an entity possessed a particular special, exceptional, or non-standard status within a specified context or time period.
-
D.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
specialFeature
Indicates that an entity possesses a distinctive or noteworthy attribute, capability, or characteristic that sets it apart from others.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c306b188190a08a7856beb76db4 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:28 p.m.