Triple
T17325680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuy Region |
E420680
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Kaindy
Kaindy is a town in northern Kyrgyzstan that serves as an important urban center within the Chuy Region.
|
E1263472
|
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: Kaindy | Statement: [Chuy Region, hasMajorCity, Kaindy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaindy Context triple: [Chuy Region, hasMajorCity, Kaindy]
-
A.
Kainantu
Kainantu is a small highland town in Papua New Guinea known as a regional trading center and gateway to the Eastern Highlands.
-
B.
Káínai
Káínai are a Blackfoot-speaking Indigenous people of the Kainai Nation, traditionally based in what is now southern Alberta, Canada.
-
C.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
D.
Kaei
Kaei was a Japanese era name (nengō) of the late Edo period, notable for encompassing events such as the arrival of Commodore Perry and the opening of Japan to the West.
-
E.
Kaei
Kaei is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
- 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: Kaindy Triple: [Chuy Region, hasMajorCity, Kaindy]
Generated description
Kaindy is a town in northern Kyrgyzstan that serves as an important urban center within the Chuy Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaindy Target entity description: Kaindy is a town in northern Kyrgyzstan that serves as an important urban center within the Chuy Region.
-
A.
Kainantu
Kainantu is a small highland town in Papua New Guinea known as a regional trading center and gateway to the Eastern Highlands.
-
B.
Káínai
Káínai are a Blackfoot-speaking Indigenous people of the Kainai Nation, traditionally based in what is now southern Alberta, Canada.
-
C.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
D.
Kaei
Kaei was a Japanese era name (nengō) of the late Edo period, notable for encompassing events such as the arrival of Commodore Perry and the opening of Japan to the West.
-
E.
Kaei
Kaei is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4c2dc08190b60982abc9ac7c9c |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018f2358b481908226aa84a7bd9d7f |
completed | May 11, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0190125abc8190ad4d1f500e3513b3 |
completed | May 11, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:43 a.m.