Triple
T23166124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan Dadu |
E578714
|
entity |
| Predicate | modernRemnantsLocatedIn |
P36131
|
FINISHED |
| Object | Beijing |
—
|
NE NERFINISHED |
How this triple was built (3 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: Beijing | Statement: [Yuan Dadu, modernRemnantsLocatedIn, Beijing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beijing Context triple: [Yuan Dadu, modernRemnantsLocatedIn, Beijing]
-
A.
Beijing
chosen
Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
-
B.
Pekin
Pekin is a small hamlet in Niagara County, New York, known historically as a stop on the Underground Railroad.
-
C.
Tiāntán
Tiāntán is the Chinese pinyin name for the Temple of Heaven, a historic imperial religious complex in Beijing where Ming and Qing dynasty emperors performed annual ceremonies to pray for good harvests.
-
D.
Shanghai
Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
-
E.
Shanghai
Shanghai is a major Ethereum network upgrade that introduced key changes such as enabling staked ETH withdrawals and improving the protocol’s efficiency and flexibility.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernRemnantsLocatedIn Context triple: [Yuan Dadu, modernRemnantsLocatedIn, Beijing]
-
A.
relicsLocatedIn
chosen
Indicates that certain relics are situated, stored, or found within a specific location.
-
B.
housesRemainsOf
Indicates that one entity serves as the location or container in which the physical remains of another entity are kept or preserved.
-
C.
culturalRemains
Indicates that one entity consists of or contains physical or material traces left by a culture, such as artifacts, structures, or other archaeological evidence.
-
D.
discoveredRemainsIn
Indicates that one entity found or uncovered the physical remains of another entity at a specific location.
-
E.
modernArchaeologicalSite
Indicates that a location functions as an archaeological site characterized by modern-era remains, research, or excavation activities.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2c923c81908b58811fffdcf932 |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:03 p.m.