Triple
T21950213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qi |
E542044
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Lu |
—
|
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: Lu | Statement: [Qi, borderedBy, Lu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lu Context triple: [Qi, borderedBy, Lu]
-
A.
Lu
chosen
Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
-
B.
Lu
Lu is a common Chinese surname with historical roots and numerous notable bearers across politics, academia, and the arts.
-
C.
LU
LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
-
D.
LU
LU is the standard abbreviation for the Liber Usualis, a widely used compendium of Gregorian chant for the Roman Catholic liturgy.
-
E.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243bb9c88190a3774b9fa2af9871 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.