Triple
T7641591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarkhan dynasty |
E173021
|
entity |
| Predicate | notableCity |
P2813
|
FINISHED |
| Object |
Bukkur
Bukkur is a historic fortified island town in the Indus River in Sindh, Pakistan, known for its strategic importance and association with medieval dynasties such as the Tarkhans.
|
E678551
|
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: Bukkur | Statement: [Tarkhan dynasty, notableCity, Bukkur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bukkur Context triple: [Tarkhan dynasty, notableCity, Bukkur]
-
A.
Buk
Buk is a Soviet-designed, medium-range, surface-to-air missile system widely used for air defense by several countries, including Ukraine.
-
B.
Buron
Buron is a small village in northwestern France, historically notable for fighting during the Battle of Normandy in World War II.
-
C.
Buyruk
Buyruk is a central Alevi religious text that compiles the teachings, rituals, and moral principles of Alevism.
-
D.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
-
E.
Baljurashi
Baljurashi is a city in southwestern Saudi Arabia known for its mountainous terrain, cool climate, and location within the Al Bahah region.
- 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: Bukkur Triple: [Tarkhan dynasty, notableCity, Bukkur]
Generated description
Bukkur is a historic fortified island town in the Indus River in Sindh, Pakistan, known for its strategic importance and association with medieval dynasties such as the Tarkhans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bukkur Target entity description: Bukkur is a historic fortified island town in the Indus River in Sindh, Pakistan, known for its strategic importance and association with medieval dynasties such as the Tarkhans.
-
A.
Buk
Buk is a Soviet-designed, medium-range, surface-to-air missile system widely used for air defense by several countries, including Ukraine.
-
B.
Buron
Buron is a small village in northwestern France, historically notable for fighting during the Battle of Normandy in World War II.
-
C.
Buyruk
Buyruk is a central Alevi religious text that compiles the teachings, rituals, and moral principles of Alevism.
-
D.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
-
E.
Baljurashi
Baljurashi is a city in southwestern Saudi Arabia known for its mountainous terrain, cool climate, and location within the Al Bahah region.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facefbe08190882bd76cf3cd605e |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870d1008c8190898a582a82038e48 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c8735af3b881908459a94c4d25e339 |
completed | March 29, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8745f29608190aca3bbfe76a877a1 |
completed | March 29, 2026, 12:37 a.m. |
Created at: March 27, 2026, 3:57 p.m.