Triple
T35087564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blok D upper stage |
E1012617
|
entity |
| Predicate | usedForDestination |
P98
|
FINISHED |
| Object | Moon |
—
|
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: Moon | Statement: [Blok D upper stage, usedForDestination, Moon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForDestination Context triple: [Blok D upper stage, usedForDestination, Moon]
-
A.
usesDestination
Indicates that one entity directs or applies its action, movement, or output toward another entity as the intended destination.
-
B.
usedFor
chosen
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
destinedFor
Indicates that one entity is intended, assigned, or meant to be used for, received by, or directed toward another entity or purpose.
-
D.
isDestinationBased
Indicates that something is determined, organized, or classified according to its destination.
-
E.
usedForCountry
Indicates that something is used for, or serves a purpose related to, a specific country.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 3, 2026, 4:01 p.m.