Triple
T9192329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katuic |
E220619
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Ngeq
Ngeq is a lesser-known Austroasiatic language belonging to the Katuic branch, spoken by an ethnic minority community in mainland Southeast Asia.
|
E783487
|
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: Ngeq | Statement: [Katuic, hasLanguage, Ngeq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngeq Context triple: [Katuic, hasLanguage, Ngeq]
-
A.
Nggae
Nggae is an alternative name for the Ghari language spoken in the Solomon Islands.
-
B.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
C.
Navedenga
Navedenga is a large-scale, immersive installation by Brazilian artist Ernesto Neto that envelops viewers in a sensorial environment of organic forms, textiles, and spices.
-
D.
Nengone
Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
-
E.
Giez
Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
- 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: Ngeq Triple: [Katuic, hasLanguage, Ngeq]
Generated description
Ngeq is a lesser-known Austroasiatic language belonging to the Katuic branch, spoken by an ethnic minority community in mainland Southeast Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ngeq Target entity description: Ngeq is a lesser-known Austroasiatic language belonging to the Katuic branch, spoken by an ethnic minority community in mainland Southeast Asia.
-
A.
Nggae
Nggae is an alternative name for the Ghari language spoken in the Solomon Islands.
-
B.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
C.
Navedenga
Navedenga is a large-scale, immersive installation by Brazilian artist Ernesto Neto that envelops viewers in a sensorial environment of organic forms, textiles, and spices.
-
D.
Nengone
Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
-
E.
Giez
Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
- 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.