Triple
T30956663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing 2008 Olympic Torch Relay |
E788693
|
entity |
| Predicate | MountEverestSegmentCountry |
P38503
|
FINISHED |
| Object | China |
E5561
|
NE 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: China | Statement: [Beijing 2008 Olympic Torch Relay, MountEverestSegmentCountry, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MountEverestSegmentCountry Context triple: [Beijing 2008 Olympic Torch Relay, MountEverestSegmentCountry, China]
-
A.
countryOfMountain
chosen
Indicates the country within whose territory a given mountain is located.
-
B.
countryOfHighestPoint
Indicates the country within whose territory a given location’s highest elevation point is found.
-
C.
nearHighestPeakOf
Indicates that one entity is located close to the highest peak of another referenced geographic or topographic feature.
-
D.
countryHighestPeak
Indicates that a given peak is the tallest mountain within the specified country.
-
E.
firstAscentCountry
Indicates the country in which the first successful ascent of something (typically a mountain or climbing route) took place.
- F. None of above.
Provenance (4 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2958f5052c81908cd9b32a73c6e0b3 |
completed | June 10, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 8:54 p.m.