Triple
T11058963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huambo |
E261453
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Caála
Caála is a town and municipality in Angola’s Huambo Province, known as an important regional agricultural and transport hub on the central plateau.
|
E902787
|
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: Caála | Statement: [Huambo, near, Caála]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caála Context triple: [Huambo, near, Caála]
-
A.
Calas
Calas is a French surname most notably associated with Jean Calas, whose controversial 18th-century trial and execution became a landmark case in the fight against religious intolerance.
-
B.
Ilanon
Ilanon is an alternate name for the Iranun language, an Austronesian language spoken by the Iranun people of the southern Philippines and parts of Malaysia.
-
C.
Kantua
Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
-
D.
Comala
Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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: Caála Triple: [Huambo, near, Caála]
Generated description
Caála is a town and municipality in Angola’s Huambo Province, known as an important regional agricultural and transport hub on the central plateau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caála Target entity description: Caála is a town and municipality in Angola’s Huambo Province, known as an important regional agricultural and transport hub on the central plateau.
-
A.
Calas
Calas is a French surname most notably associated with Jean Calas, whose controversial 18th-century trial and execution became a landmark case in the fight against religious intolerance.
-
B.
Ilanon
Ilanon is an alternate name for the Iranun language, an Austronesian language spoken by the Iranun people of the southern Philippines and parts of Malaysia.
-
C.
Kantua
Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
-
D.
Comala
Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a4f3f88190a29710f64cef9d25 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c87ab0308190a6a6ada1708f0ec2 |
completed | April 18, 2026, 6:07 p.m. |
| NEDg | Description generation | batch_69e3cefc00148190a1850dc6e31523c3 |
completed | April 18, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3d014a644819092c76aa02b573ca9 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 8, 2026, 9:26 p.m.