Triple
T35169117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swatow |
E1015492
|
entity |
| Predicate | presentDayAdministrativeName |
P119114
|
FINISHED |
| Object | Shantou City |
—
|
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: Shantou City | Statement: [Swatow, presentDayAdministrativeName, Shantou City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayAdministrativeName Context triple: [Swatow, presentDayAdministrativeName, Shantou City]
-
A.
presentDayRegionName
Indicates the current or modern geographic region in which an entity or location is situated or identified.
-
B.
presentDayAdministrativeAreasInclude
chosen
Indicates that one present-day administrative area geographically or jurisdictionally contains another administrative area.
-
C.
presentDayMunicipality
Indicates that one entity is the current-day municipality encompassing or corresponding to the area or jurisdiction of another (typically historical) entity.
-
D.
presentDayTownName
Indicates that the object is the current or modern-day town name corresponding to the subject.
-
E.
presentDayNameOfCapital
Indicates that one entity is the current, officially used name of the capital city associated with another entity.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 3, 2026, 4:02 p.m.