Triple
T32508230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chang’e 3 |
E830857
|
entity |
| Predicate | roverCountryOfOrigin |
P174901
|
FINISHED |
| Object | China |
—
|
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: China | Statement: [Chang’e 3, roverCountryOfOrigin, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roverCountryOfOrigin Context triple: [Chang’e 3, roverCountryOfOrigin, China]
-
A.
roverName
Indicates that an entity is the name assigned to a particular rover.
-
B.
firstRover
Indicates that the subject is the first rover (e.g., chronologically or in sequence) relative to other rovers in a given context.
-
C.
usedLunarRovingVehicle
Indicates that an entity operated or traveled using a lunar roving vehicle during a lunar mission or activity.
-
D.
roverInstanceOf
Indicates that one entity is an instance of, or belongs to the class or type represented by, a rover.
-
E.
roverFunction
Indicates that an entity serves as a rover and specifies the function, role, or operational purpose it performs.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1 a.m.