Triple
T1281562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode Technical Standard #10 |
E27336
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
|
E146196
|
NE FINISHED |
How this triple was built (4 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: DUCET | Statement: [Unicode Technical Standard #10, shortName, DUCET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DUCET Context triple: [Unicode Technical Standard #10, shortName, DUCET]
-
A.
Doud
Doud is the maiden surname of Mamie Eisenhower, the First Lady of the United States during Dwight D. Eisenhower’s presidency.
-
B.
EUCO
EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
-
C.
DU
DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
-
D.
Duff
Duff is a masculine given name of Scottish origin, traditionally derived from a Gaelic word meaning "dark" or "swarthy."
-
E.
DSU
DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DUCET Triple: [Unicode Technical Standard #10, shortName, DUCET]
Generated description
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DUCET Target entity description: DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
-
A.
Doud
Doud is the maiden surname of Mamie Eisenhower, the First Lady of the United States during Dwight D. Eisenhower’s presidency.
-
B.
EUCO
EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
-
C.
DU
DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
-
D.
Duff
Duff is a masculine given name of Scottish origin, traditionally derived from a Gaelic word meaning "dark" or "swarthy."
-
E.
DSU
DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
- F. None of above. chosen
Provenance (5 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b317788190a1672b5ee422a049 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2fb746881909ac7a8dd672fc939 |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca3752a3c81908bd6d9744ad5f5a2 |
completed | March 7, 2026, 10:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca3e44bf481908c5726adddc4b428 |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:50 p.m.