Triple
T27914346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pazhou Island |
E706027
|
entity |
| Predicate | majorEventLocationFor |
P106777
|
FINISHED |
| Object | China Import and Export Fair |
—
|
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: China Import and Export Fair | Statement: [Pazhou Island, majorEventLocationFor, China Import and Export Fair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorEventLocationFor Context triple: [Pazhou Island, majorEventLocationFor, China Import and Export Fair]
-
A.
majorEventCountry
Indicates that a major event took place in, or is primarily associated with, a particular country.
-
B.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
C.
significantEventPlace
Indicates the place where a significant event occurred or is associated with an entity.
-
D.
significantVenueFor
chosen
Indicates that a venue plays an important or notable role in relation to a particular entity, event, or activity.
-
E.
olympicEventsLocation
Indicates the location where specific Olympic events are held or take place.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 27, 2026, 6:52 p.m.