Triple
T38662470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuangshi Jie |
E940368
|
entity |
| Predicate | mainLocationOfNationalCeremony |
P128
|
FINISHED |
| Object | Taipei |
—
|
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: Taipei | Statement: [Shuangshi Jie, mainLocationOfNationalCeremony, Taipei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainLocationOfNationalCeremony Context triple: [Shuangshi Jie, mainLocationOfNationalCeremony, Taipei]
-
A.
ceremonyLocation
chosen
Indicates the place where a ceremony is held or takes place.
-
B.
ceremonyLocationType
Indicates the type or category of location where a ceremony takes place.
-
C.
ceremonyHeldNear
Indicates that a ceremony takes place at a location that is geographically close to a specified reference place or object.
-
D.
locationCountryOfCeremony
Indicates the country in which a particular ceremony takes place or is held.
-
E.
ceremonialRegion
Indicates a region that is designated or used for ceremonial or ritual activities in relation to 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:33 p.m.