Triple
T15004688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashmore District |
E377677
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kandhkot
Kandhkot is a town in Pakistan’s Sindh province that serves as a key urban and commercial center in the Kashmore District.
|
E1132061
|
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: Kandhkot | Statement: [Kashmore District, hasSettlement, Kandhkot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandhkot Context triple: [Kashmore District, hasSettlement, Kandhkot]
-
A.
Khandhar
Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
-
B.
Shakargarh
Shakargarh is a town in Punjab, Pakistan, known for its agricultural surroundings and proximity to the border with India.
-
C.
Parachinar
Parachinar is a major town in northwestern Pakistan near the Afghan border, known as the administrative center of Kurram District and for its strategic and sectarian-sensitive location.
-
D.
Umarkot
Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
-
E.
Kotri
Kotri is a town in the Jamshoro District of Sindh, Pakistan, situated on the right bank of the Indus River and known as a key regional transport and industrial center.
- 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: Kandhkot Triple: [Kashmore District, hasSettlement, Kandhkot]
Generated description
Kandhkot is a town in Pakistan’s Sindh province that serves as a key urban and commercial center in the Kashmore District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kandhkot Target entity description: Kandhkot is a town in Pakistan’s Sindh province that serves as a key urban and commercial center in the Kashmore District.
-
A.
Khandhar
Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
-
B.
Shakargarh
Shakargarh is a town in Punjab, Pakistan, known for its agricultural surroundings and proximity to the border with India.
-
C.
Parachinar
Parachinar is a major town in northwestern Pakistan near the Afghan border, known as the administrative center of Kurram District and for its strategic and sectarian-sensitive location.
-
D.
Umarkot
Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
-
E.
Kotri
Kotri is a town in the Jamshoro District of Sindh, Pakistan, situated on the right bank of the Indus River and known as a key regional transport and industrial center.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a04eec8190b347bf3637aba0bc |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98e182708190a013511c32d33315 |
completed | May 9, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9a48e85081909d70d8f44e3a54d7 |
completed | May 9, 2026, 2:22 a.m. |
Created at: April 10, 2026, 2:54 a.m.