Triple
T258638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timor-Leste |
E5492
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Dili
Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
|
E33211
|
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: Dili | Statement: [Timor-Leste, capital, Dili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dili Context triple: [Timor-Leste, capital, Dili]
-
A.
Sranan
Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
-
B.
Kichwa
Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
-
C.
Yola language
The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
-
D.
Ndyuka language
The Ndyuka language is an English-based creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
E.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
- 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: Dili Triple: [Timor-Leste, capital, Dili]
Generated description
Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dili Target entity description: Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
-
A.
Sranan
Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
-
B.
Kichwa
Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
-
C.
Yola language
The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
-
D.
Ndyuka language
The Ndyuka language is an English-based creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
E.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d71a10c8190894c86e7a67c5974 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37959115881908aa902eab1159b0c |
completed | Feb. 28, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_69a379d72c34819090cbb2eba0674efc |
completed | Feb. 28, 2026, 11:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a37a319f608190ac7fe9db3c7fb4f3 |
completed | Feb. 28, 2026, 11:28 p.m. |
Created at: Feb. 28, 2026, 2:55 a.m.