Triple
T4762851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhojpur district |
E105736
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Shahpur
Shahpur is a notable town in Bihar, India, recognized as one of the main urban centers of Bhojpur district.
|
E466991
|
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: Shahpur | Statement: [Bhojpur district, hasMajorTown, Shahpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahpur Context triple: [Bhojpur district, hasMajorTown, Shahpur]
-
A.
Khusrav
Khusrav is a masculine given name of Persian origin, historically borne by princes and notable figures in Central and South Asia.
-
B.
Khosrowshahi
Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
-
C.
Eskandar
Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
-
D.
Hormuzd
Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
-
E.
Aryamehr
Aryamehr was an honorific title meaning "Light of the Aryans" used by Mohammad Reza Pahlavi, the last Shah of Iran, to emphasize his imperial and cultural stature.
- 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: Shahpur Triple: [Bhojpur district, hasMajorTown, Shahpur]
Generated description
Shahpur is a notable town in Bihar, India, recognized as one of the main urban centers of Bhojpur district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shahpur Target entity description: Shahpur is a notable town in Bihar, India, recognized as one of the main urban centers of Bhojpur district.
-
A.
Khusrav
Khusrav is a masculine given name of Persian origin, historically borne by princes and notable figures in Central and South Asia.
-
B.
Khosrowshahi
Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
-
C.
Eskandar
Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
-
D.
Hormuzd
Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
-
E.
Aryamehr
Aryamehr was an honorific title meaning "Light of the Aryans" used by Mohammad Reza Pahlavi, the last Shah of Iran, to emphasize his imperial and cultural stature.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd651091cc81909b835439c85e842f |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a81c9dc8190b9e7f399ac1de268 |
completed | March 21, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69be3b4791008190ba3f3f6e7698146f |
completed | March 21, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3bbe432081909bf134e1be799b58 |
completed | March 21, 2026, 6:33 a.m. |
Created at: March 20, 2026, 1:20 p.m.