Triple
T34241219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firefang |
E878470
|
entity |
| Predicate | namingTargetCountry |
P33294
|
FINISHED |
| Object | People's Republic of 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: People's Republic of China | Statement: [Firefang, namingTargetCountry, People's Republic of China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namingTargetCountry Context triple: [Firefang, namingTargetCountry, People's Republic of China]
-
A.
designationCountry
Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
-
B.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
-
C.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
-
D.
usedNameOfCountry
chosen
Indicates that one entity referred to or employed a particular name or designation for a country.
-
E.
countryTargeted
Indicates that a particular country is the intended object or focus of an action, operation, or influence.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.