Triple
T6787032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kove language |
E155833
|
entity |
| Predicate | hasGlottologName |
P6521
|
FINISHED |
| Object |
Kove
Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
|
E619351
|
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: Kove | Statement: [Kove language, hasGlottologName, Kove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kove Context triple: [Kove language, hasGlottologName, Kove]
-
A.
Kopervik
Kopervik is a coastal town in Rogaland county, Norway, situated on the island of Karmøy and serving as an important local commercial and administrative center.
-
B.
Kostava
Kostava is a Georgian surname most notably borne by Merab Kostava, a prominent Soviet-era Georgian dissident and national independence activist.
-
C.
Kamen
Kamen is a town in North Rhine-Westphalia, Germany, known as a local industrial and transport hub in the Ruhr region.
-
D.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
E.
Kezlev
Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
- 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: Kove Triple: [Kove language, hasGlottologName, Kove]
Generated description
Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kove Target entity description: Kove is an Austronesian language spoken in coastal communities of New Britain in Papua New Guinea.
-
A.
Kopervik
Kopervik is a coastal town in Rogaland county, Norway, situated on the island of Karmøy and serving as an important local commercial and administrative center.
-
B.
Kostava
Kostava is a Georgian surname most notably borne by Merab Kostava, a prominent Soviet-era Georgian dissident and national independence activist.
-
C.
Kamen
Kamen is a town in North Rhine-Westphalia, Germany, known as a local industrial and transport hub in the Ruhr region.
-
D.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
E.
Kezlev
Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a871a84819098891f66c6e5b579 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b6b87d8819085e6ae122f042626 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c00f86c819099ef6ae0766e9f3a |
completed | March 28, 2026, 12:08 a.m. |
Created at: March 27, 2026, 2:14 p.m.