Triple
T361661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LUX |
E7867
|
entity |
| Predicate | hasAlpha2CompanionCode |
P2261
|
FINISHED |
| Object | LU |
E7866
|
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: LU | Statement: [LUX, hasAlpha2CompanionCode, LU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LU Context triple: [LUX, hasAlpha2CompanionCode, LU]
-
A.
LU
chosen
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
B.
Le
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
-
C.
LI
LI is the Roman numeral representing the number 51.
-
D.
Ur
Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
-
E.
UCH
UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebce64c88190a0a8edcc7095f78b |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e57a56e081909004fcd7e15f457c |
completed | March 1, 2026, 7:06 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.