Triple
T15407377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karu |
E368494
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
New Karshi
New Karshi is a settlement associated with the Karu area in Nigeria, functioning as one of its residential and administrative communities.
|
E1154296
|
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: New Karshi | Statement: [Karu, hasSettlement, New Karshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Karshi Context triple: [Karu, hasSettlement, New Karshi]
-
A.
Karshi
Karshi is a city in southern Uzbekistan known as an important regional center for industry, agriculture, and transportation.
-
B.
Kars
Kars is a historic city in northeastern Turkey known for its medieval fortifications, strategic location near the Caucasus, and role as a former regional capital in various Armenian and Ottoman periods.
-
C.
Karsi
Karsi is a wildling leader from Game of Thrones known for her bravery and tragic death during the White Walker assault on Hardhome.
-
D.
Karlino
Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
-
E.
Kurskaya
Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
- 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: New Karshi Triple: [Karu, hasSettlement, New Karshi]
Generated description
New Karshi is a settlement associated with the Karu area in Nigeria, functioning as one of its residential and administrative communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: New Karshi Target entity description: New Karshi is a settlement associated with the Karu area in Nigeria, functioning as one of its residential and administrative communities.
-
A.
Karshi
Karshi is a city in southern Uzbekistan known as an important regional center for industry, agriculture, and transportation.
-
B.
Kars
Kars is a historic city in northeastern Turkey known for its medieval fortifications, strategic location near the Caucasus, and role as a former regional capital in various Armenian and Ottoman periods.
-
C.
Karsi
Karsi is a wildling leader from Game of Thrones known for her bravery and tragic death during the White Walker assault on Hardhome.
-
D.
Karlino
Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
-
E.
Kurskaya
Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141babdc8190bac03e8a294984ce |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14d3e78881909692d5594bc941d8 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:20 a.m.