Triple
T19075250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCCI |
E466885
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Dili |
—
|
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: Dili | Statement: [UCCI, hasMember, Dili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dili Context triple: [UCCI, hasMember, Dili]
-
A.
Dili
chosen
Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
-
B.
Languenan
Languenan is a small commune in the Côtes-d'Armor department of Brittany in northwestern France.
-
C.
Basa
Basa was a political figure who served as vice president in the historic Malolos Congress, the revolutionary legislature of the First Philippine Republic.
-
D.
Ikalanga
Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
-
E.
Lembá
Lembá is a coastal district on the island of São Tomé in São Tomé and Príncipe, known for its fishing communities and lush tropical landscapes.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e3c7b08190bf6448ead11ba916 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.