Triple
T14259944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital Governorate |
E353485
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Doha District
Doha District is an administrative area centered on Qatar’s capital city, serving as the country’s primary political, economic, and cultural hub.
|
E1091112
|
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: Doha District | Statement: [Capital Governorate, contains, Doha District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doha District Context triple: [Capital Governorate, contains, Doha District]
-
A.
Doha district
Doha district is an urban administrative area within Kuwait’s capital region, forming part of the metropolitan core of Kuwait City.
-
B.
Al Wakrah
Al Wakrah is a coastal city in southeastern Qatar known for its historic fishing and pearling heritage and as the site of the modern Al Janoub Stadium.
-
C.
Al-Doha
Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
-
D.
Darayya District
Darayya District is an administrative district in southern Syria, located just southwest of Damascus within the Rif Dimashq Governorate.
-
E.
Hamad Town
Hamad Town is a planned residential town in Bahrain known for its large roundabouts and diverse, predominantly middle-class population.
- 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: Doha District Triple: [Capital Governorate, contains, Doha District]
Generated description
Doha District is an administrative area centered on Qatar’s capital city, serving as the country’s primary political, economic, and cultural hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doha District Target entity description: Doha District is an administrative area centered on Qatar’s capital city, serving as the country’s primary political, economic, and cultural hub.
-
A.
Doha district
Doha district is an urban administrative area within Kuwait’s capital region, forming part of the metropolitan core of Kuwait City.
-
B.
Al Wakrah
Al Wakrah is a coastal city in southeastern Qatar known for its historic fishing and pearling heritage and as the site of the modern Al Janoub Stadium.
-
C.
Al-Doha
Al-Doha is a Palestinian town located in the Bethlehem Governorate of the West Bank.
-
D.
Darayya District
Darayya District is an administrative district in southern Syria, located just southwest of Damascus within the Rif Dimashq Governorate.
-
E.
Hamad Town
Hamad Town is a planned residential town in Bahrain known for its large roundabouts and diverse, predominantly middle-class population.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de635534988190816fdfb315cd2a3f |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d150b188190a0858ab94f81d9a8 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e13914c81908f4dcda7f0f6a927 |
completed | May 8, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3ee3f66081909301276aeee05350 |
completed | May 8, 2026, 1:39 a.m. |
Created at: April 10, 2026, 1:09 a.m.