Triple
T12684569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mardan District |
E303034
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Lund Khwar
Lund Khwar is a town located in Pakistan’s Khyber Pakhtunkhwa province, within the Mardan District.
|
E998884
|
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: Lund Khwar | Statement: [Mardan District, containsSettlement, Lund Khwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lund Khwar Context triple: [Mardan District, containsSettlement, Lund Khwar]
-
A.
Khonj
Khonj is a city in southern Iran known for its location in Fars Province and its predominantly Sunni Muslim population within a largely Shia region.
-
B.
Parwanoo
Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
-
C.
Khar
Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
-
D.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
E.
Kutha
Kutha was an ancient Mesopotamian city best known as the principal cult center of the underworld god Nergal.
- 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: Lund Khwar Triple: [Mardan District, containsSettlement, Lund Khwar]
Generated description
Lund Khwar is a town located in Pakistan’s Khyber Pakhtunkhwa province, within the Mardan District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lund Khwar Target entity description: Lund Khwar is a town located in Pakistan’s Khyber Pakhtunkhwa province, within the Mardan District.
-
A.
Khonj
Khonj is a city in southern Iran known for its location in Fars Province and its predominantly Sunni Muslim population within a largely Shia region.
-
B.
Parwanoo
Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
-
C.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
D.
Khar
Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
-
E.
Kutha
Kutha was an ancient Mesopotamian city best known as the principal cult center of the underworld god Nergal.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a8f068819086e2191439607f76 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6749c2ddc8190945270e6e5b210dd |
completed | May 2, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675c42fec8190b60751c0db88f3b6 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 9, 2026, 5:21 p.m.