Triple
T4885805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tianwen-1 |
E109435
|
entity |
| Predicate | firstForCountry |
P59622
|
FINISHED |
| Object | first Chinese Mars mission |
—
|
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: first Chinese Mars mission | Statement: [Tianwen-1, firstForCountry, first Chinese Mars mission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstForCountry Context triple: [Tianwen-1, firstForCountry, first Chinese Mars mission]
-
A.
firstHolderCountry
Indicates the country that initially held or possessed the referenced entity before any subsequent transfers or changes in ownership.
-
B.
mainCountry
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
C.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
D.
leftCountry
Indicates that an entity has departed from or is no longer residing in a specified country.
-
E.
designationCountry
Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2be5e881909f6ec9c3bcde49f3 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6d5976a081909090c0c263f6e9b7 |
completed | March 20, 2026, 3:52 p.m. |
Created at: March 20, 2026, 1:28 p.m.