Triple
T12508282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takht-i-Bahi |
E299006
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Sarai Bahlol
Sarai Bahlol is an archaeological site in Pakistan known for its ancient remains associated with the Gandhara civilization.
|
E986828
|
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: Sarai Bahlol | Statement: [Takht-i-Bahi, near, Sarai Bahlol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarai Bahlol Context triple: [Takht-i-Bahi, near, Sarai Bahlol]
-
A.
Kandahari Begum
Kandahari Begum was a Mughal princess and the first wife of Emperor Shah Jahan, known for her Timurid lineage and political significance in the Mughal court.
-
B.
Bilquis Bano
Bilquis Bano was the mother of Khawaja Nazimuddin, a prominent Pakistani statesman and the second Governor-General of Pakistan.
-
C.
Bahu Begum
Bahu Begum was an influential 18th-century Mughal noblewoman and queen consort of Awadh, renowned for her immense wealth, political influence, and patronage of architecture in Faizabad.
-
D.
Maham Begum
Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
-
E.
Zeb-un-Nissa Begum
Zeb-un-Nissa Begum was a 17th-century Mughal princess renowned for her poetry, scholarship, and patronage of the arts in the imperial court of India.
- 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: Sarai Bahlol Triple: [Takht-i-Bahi, near, Sarai Bahlol]
Generated description
Sarai Bahlol is an archaeological site in Pakistan known for its ancient remains associated with the Gandhara civilization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarai Bahlol Target entity description: Sarai Bahlol is an archaeological site in Pakistan known for its ancient remains associated with the Gandhara civilization.
-
A.
Kandahari Begum
Kandahari Begum was a Mughal princess and the first wife of Emperor Shah Jahan, known for her Timurid lineage and political significance in the Mughal court.
-
B.
Bilquis Bano
Bilquis Bano was the mother of Khawaja Nazimuddin, a prominent Pakistani statesman and the second Governor-General of Pakistan.
-
C.
Bahu Begum
Bahu Begum was an influential 18th-century Mughal noblewoman and queen consort of Awadh, renowned for her immense wealth, political influence, and patronage of architecture in Faizabad.
-
D.
Maham Begum
Maham Begum was a chief consort of the Mughal emperor Babur and the mother of his successor, Humayun.
-
E.
Zeb-un-Nissa Begum
Zeb-un-Nissa Begum was a 17th-century Mughal princess renowned for her poetry, scholarship, and patronage of the arts in the imperial court of India.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541c1ca08190a4026c394ebcbeb5 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb778e081909bab2ef87226c6a0 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce1b0ec8190bcbd245255e548b5 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64da735f48190b051ce173c13e5b2 |
completed | May 2, 2026, 7:16 p.m. |
Created at: April 8, 2026, 9:57 p.m.