Triple
T11230221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moxico Province |
E265799
|
entity |
| Predicate | capitalFormerName |
P49652
|
FINISHED |
| Object |
Luso
Luso is the former colonial-era name of the city now known as Luena, the capital of Moxico Province in eastern Angola.
|
E912638
|
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: Luso | Statement: [Moxico Province, capitalFormerName, Luso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luso Context triple: [Moxico Province, capitalFormerName, Luso]
-
A.
Lusones
The Lusones were an ancient Celtiberian people who inhabited part of the central Iberian Peninsula during the pre-Roman and Roman Republican periods.
-
B.
Portogruaro
Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
-
C.
Azambuja
Azambuja is a municipality in Portugal known for its agricultural landscape and proximity to the Lisbon metropolitan area.
-
D.
Portela
Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
-
E.
The Portuguese
"The Portuguese" is the English title of Portugal's national anthem, a patriotic song celebrating the country's history and identity.
- 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: Luso Triple: [Moxico Province, capitalFormerName, Luso]
Generated description
Luso is the former colonial-era name of the city now known as Luena, the capital of Moxico Province in eastern Angola.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luso Target entity description: Luso is the former colonial-era name of the city now known as Luena, the capital of Moxico Province in eastern Angola.
-
A.
Lusones
The Lusones were an ancient Celtiberian people who inhabited part of the central Iberian Peninsula during the pre-Roman and Roman Republican periods.
-
B.
Portogruaro
Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
-
C.
Azambuja
Azambuja is a municipality in Portugal known for its agricultural landscape and proximity to the Lisbon metropolitan area.
-
D.
Portela
Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
-
E.
The Portuguese
"The Portuguese" is the English title of Portugal's national anthem, a patriotic song celebrating the country's history and identity.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad3eef408190937949e7b3bf0163 |
completed | April 19, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69e4b12c04e48190ad7546d556a5109f |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b2949c7c8190820b7f1f87e00602 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:30 p.m.