Triple
T10191075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabul Province |
E238034
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Shinkay District
Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
|
E848037
|
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: Shinkay District | Statement: [Zabul Province, hasDistrict, Shinkay District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinkay District Context triple: [Zabul Province, hasDistrict, Shinkay District]
-
A.
Ivanava District
Ivanava District is an administrative district in the Brest Region of southwestern Belarus, known for its rural settlements and small towns such as Motal.
-
B.
Nishikasugai District
Nishikasugai District is an administrative district in Aichi Prefecture, Japan, comprising several towns and villages within the region.
-
C.
Hama District
Hama District is an administrative district in central Syria that encompasses the city of Hama and surrounding areas within the Hama Governorate.
-
D.
Guichi District
Guichi District is an urban district that serves as the central administrative and commercial hub of Chizhou in Anhui Province, China.
-
E.
Nishitama District
Nishitama District is a rural administrative district in western Tokyo Metropolis, Japan, known for its small towns, mountainous terrain, and natural scenery.
- 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: Shinkay District Triple: [Zabul Province, hasDistrict, Shinkay District]
Generated description
Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shinkay District Target entity description: Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
-
A.
Ivanava District
Ivanava District is an administrative district in the Brest Region of southwestern Belarus, known for its rural settlements and small towns such as Motal.
-
B.
Nishikasugai District
Nishikasugai District is an administrative district in Aichi Prefecture, Japan, comprising several towns and villages within the region.
-
C.
Hama District
Hama District is an administrative district in central Syria that encompasses the city of Hama and surrounding areas within the Hama Governorate.
-
D.
Guichi District
Guichi District is an urban district that serves as the central administrative and commercial hub of Chizhou in Anhui Province, China.
-
E.
Nishitama District
Nishitama District is a rural administrative district in western Tokyo Metropolis, Japan, known for its small towns, mountainous terrain, and natural scenery.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7eb1148190a2d175163685e233 |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32ae3fe40819093080f9bf15a9608 |
completed | April 6, 2026, 3:39 a.m. |
| NEDg | Description generation | batch_69d32c8435f88190987e59ed31625a7f |
completed | April 6, 2026, 3:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d32d3371a081909ef61aa957cae1fa |
completed | April 6, 2026, 3:49 a.m. |
Created at: March 30, 2026, 9:13 p.m.