Triple
T26529523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demo-2 |
E670780
|
entity |
| Predicate | splashdownCountry |
P160611
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Demo-2, splashdownCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: splashdownCountry Context triple: [Demo-2, splashdownCountry, United States]
-
A.
splashdownLocation
Indicates the place where a returning spacecraft or object lands in water at the end of its flight.
-
B.
splashdownArea
Indicates the designated location or region where a spacecraft or object is intended to land in the water after reentry or descent.
-
C.
launchCountry
Indicates the country from which an object (such as a spacecraft, missile, or satellite) is launched.
-
D.
bubbleCountry
Indicates that one entity is experiencing or associated with an economic or financial bubble specifically within the country represented by the other entity.
-
E.
fallCountry
Indicates that an entity collapses, fails, or loses control within the context of a specified country.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613f5ec28819099ec679f636d61d9 |
completed | May 2, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 1:34 a.m.