Triple
T9155611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinhua News Agency |
E219699
|
entity |
| Predicate | numberOfForeignBureaus |
P4564
|
FINISHED |
| Object | over 170 |
—
|
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: over 170 | Statement: [Xinhua News Agency, numberOfForeignBureaus, over 170]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfForeignBureaus Context triple: [Xinhua News Agency, numberOfForeignBureaus, over 170]
-
A.
numberOfCountryOffices
chosen
Indicates the total count of offices or branches that an organization maintains across different countries.
-
B.
hasDiplomaticMission
Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
-
C.
numberOfBorderGuards
Indicates the quantity of border guards associated with a given location, event, or entity.
-
D.
hasConsularSection
Indicates that an entity (typically a diplomatic mission or embassy) includes or is associated with a consular section responsible for consular services.
-
E.
hasInternationalOrganizationOffice
Indicates that an international organization maintains an official office or physical presence at a given location.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d274bc8190b734a814e253d18a |
completed | April 1, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:21 p.m.