Triple
T16923746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qahhor Mahkamov |
E410511
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Qahhor
Qahhor is a masculine given name commonly used in Central Asia, particularly in Tajik and Uzbek cultures.
|
E1241258
|
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: Qahhor | Statement: [Qahhor Mahkamov, givenName, Qahhor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qahhor Context triple: [Qahhor Mahkamov, givenName, Qahhor]
-
A.
Khardaha
Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
-
B.
Khora
Khora is one of the now nearly extinct indigenous languages once spoken by the Great Andamanese people of the Andaman Islands in India.
-
C.
Qataban
Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
-
D.
Kuqa
Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
-
E.
Qaʾan
Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
- 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: Qahhor Triple: [Qahhor Mahkamov, givenName, Qahhor]
Generated description
Qahhor is a masculine given name commonly used in Central Asia, particularly in Tajik and Uzbek cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qahhor Target entity description: Qahhor is a masculine given name commonly used in Central Asia, particularly in Tajik and Uzbek cultures.
-
A.
Khardaha
Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
-
B.
Khora
Khora is one of the now nearly extinct indigenous languages once spoken by the Great Andamanese people of the Andaman Islands in India.
-
C.
Qataban
Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
-
D.
Kuqa
Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
-
E.
Qaʾan
Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf06e8c81908028efef2faa6c6b |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd5e17481909fc4303fcc1342bf |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0a0852c8190991af93d50fa2216 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d14b83d88190b3dbc124d5b33029 |
completed | May 10, 2026, 6:41 p.m. |
Created at: April 10, 2026, 5:30 a.m.