Triple
T7958427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlani |
E184799
|
entity |
| Predicate | hasTribe |
P32607
|
FINISHED |
| Object |
Bangash
Bangash is a prominent Karlani Pashtun tribe historically settled in parts of present-day Pakistan and Afghanistan.
|
E703983
|
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: Bangash | Statement: [Karlani, hasTribe, Bangash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangash Context triple: [Karlani, hasTribe, Bangash]
-
A.
Khanakul
Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
-
B.
Sonargaon
Sonargaon is a historic city in present-day Bangladesh that served as a major political and commercial center in medieval Bengal, renowned for its role in regional trade and Islamic culture.
-
C.
Bhangar
Bhangar is a town in the South 24 Parganas district of West Bengal, India, known for its semi-urban character and proximity to Kolkata.
-
D.
Liaquatabad Town
Liaquatabad Town is a densely populated residential and commercial locality in Karachi, Pakistan, known for its bustling markets and central urban location.
-
E.
Noakhali
Noakhali is a coastal district in southeastern Bangladesh, historically part of the Bengal region and known for its agrarian economy and vulnerability to cyclones and river erosion.
- 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: Bangash Triple: [Karlani, hasTribe, Bangash]
Generated description
Bangash is a prominent Karlani Pashtun tribe historically settled in parts of present-day Pakistan and Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bangash Target entity description: Bangash is a prominent Karlani Pashtun tribe historically settled in parts of present-day Pakistan and Afghanistan.
-
A.
Khanakul
Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
-
B.
Sonargaon
Sonargaon is a historic city in present-day Bangladesh that served as a major political and commercial center in medieval Bengal, renowned for its role in regional trade and Islamic culture.
-
C.
Bhangar
Bhangar is a town in the South 24 Parganas district of West Bengal, India, known for its semi-urban character and proximity to Kolkata.
-
D.
Liaquatabad Town
Liaquatabad Town is a densely populated residential and commercial locality in Karachi, Pakistan, known for its bustling markets and central urban location.
-
E.
Noakhali
Noakhali is a coastal district in southeastern Bangladesh, historically part of the Bengal region and known for its agrarian economy and vulnerability to cyclones and river erosion.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b80050c81909b2db95ade495052 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe07d31a881909e891fdd73c4467b |
completed | March 31, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69cbe554dfd881909edf2c20a7035f17 |
completed | March 31, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc3429f4148190981d30c3cc4c3c9a |
completed | March 31, 2026, 8:52 p.m. |
Created at: March 30, 2026, 5:11 p.m.