Triple
T11538742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kharan District |
E273614
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kharan
Kharan is a town in Balochistan, Pakistan, serving as the administrative center of Kharan District.
|
E936836
|
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: Kharan | Statement: [Kharan District, hasSettlement, Kharan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kharan Context triple: [Kharan District, hasSettlement, Kharan]
-
A.
Kharas
Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
B.
Kharan District
Kharan District is an administrative district in the Balochistan province of Pakistan, known for its arid desert landscape and sparse population.
-
C.
Kashgaria
Kashgaria is a historical region in what is now Xinjiang, China, centered on the oasis cities of the Tarim Basin and long contested by various Central Asian powers.
-
D.
Kucha
Kucha was an ancient Buddhist oasis city-state on the northern Silk Road in what is now Xinjiang, China, known for its rich cultural and artistic heritage.
-
E.
Khiva
Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
- 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: Kharan Triple: [Kharan District, hasSettlement, Kharan]
Generated description
Kharan is a town in Balochistan, Pakistan, serving as the administrative center of Kharan District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kharan Target entity description: Kharan is a town in Balochistan, Pakistan, serving as the administrative center of Kharan District.
-
A.
Kharas
Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
B.
Kharan District
Kharan District is an administrative district in the Balochistan province of Pakistan, known for its arid desert landscape and sparse population.
-
C.
Kashgaria
Kashgaria is a historical region in what is now Xinjiang, China, centered on the oasis cities of the Tarim Basin and long contested by various Central Asian powers.
-
D.
Kucha
Kucha was an ancient Buddhist oasis city-state on the northern Silk Road in what is now Xinjiang, China, known for its rich cultural and artistic heritage.
-
E.
Khiva
Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839cdf688190ae75c0e6fece8e33 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee869d0b0481908080e7f3a80223d1 |
completed | April 26, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69ee9cf1cb2481908bc473c87bc42d60 |
completed | April 26, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd31894481908dbd55f605c693f9 |
completed | April 27, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:37 p.m.