Triple
T9192335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katuic |
E220619
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
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.
|
E783489
|
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: Kantua | Statement: [Katuic, hasLanguage, Kantua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kantua Context triple: [Katuic, hasLanguage, Kantua]
-
A.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
B.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
C.
Cachagua
Cachagua is a small coastal town in central Chile known for its beaches, upscale vacation homes, and tranquil seaside atmosphere.
-
D.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
E.
Khorixas
Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
- 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: Kantua Triple: [Katuic, hasLanguage, Kantua]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kantua Target entity description: 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.
-
A.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
B.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
C.
Cachagua
Cachagua is a small coastal town in central Chile known for its beaches, upscale vacation homes, and tranquil seaside atmosphere.
-
D.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
E.
Khorixas
Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c077b4819086c74e91ee4bd75e |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c2bb2c481909db8c223aececf37 |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05d4ec9d48190bb425fe0449f4bf2 |
completed | April 4, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05dde94f08190aec82aa680ca0dce |
completed | April 4, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.