Triple
T617865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akbar |
E14445
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Umarkot
Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
|
E79535
|
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: Umarkot | Statement: [Akbar, birthPlace, Umarkot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umarkot Context triple: [Akbar, birthPlace, Umarkot]
-
A.
Mingora
Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
-
B.
Thatta
Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
-
C.
Kalat Agency
Kalat Agency was an administrative subdivision in British India located within the Baluchistan region, encompassing parts of the princely state of Kalat.
-
D.
Swabi
Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
-
E.
Kaghan Valley
Kaghan Valley is a scenic alpine valley in northern Pakistan renowned for its lush landscapes, rivers, and popular hill stations that attract tourists year-round.
- 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: Umarkot Triple: [Akbar, birthPlace, Umarkot]
Generated description
Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Umarkot Target entity description: Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
-
A.
Mingora
Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
-
B.
Thatta
Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
-
C.
Kalat Agency
Kalat Agency was an administrative subdivision in British India located within the Baluchistan region, encompassing parts of the princely state of Kalat.
-
D.
Swabi
Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
-
E.
Kaghan Valley
Kaghan Valley is a scenic alpine valley in northern Pakistan renowned for its lush landscapes, rivers, and popular hill stations that attract tourists year-round.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e2418c881908552d2c4a5006e97 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56eeb783c819096d6557d31608ce4 |
completed | March 2, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_69a56f749cb48190b0976b157309dc84 |
completed | March 2, 2026, 11:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56fedabcc8190a6dd0a268350ca5d |
completed | March 2, 2026, 11:09 a.m. |
Created at: March 1, 2026, 7:35 p.m.