Triple
T4854455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purvanchal |
E108501
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Basti
Basti is a city in the Indian state of Uttar Pradesh, known historically as part of the Purvanchal region and serving as an important local administrative and commercial center.
|
E475006
|
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: Basti | Statement: [Purvanchal, hasCity, Basti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basti Context triple: [Purvanchal, hasCity, Basti]
-
A.
Basti
Basti is a common German diminutive form of the given name Sebastian.
-
B.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
C.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
D.
Ain Sokhna
Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
-
E.
Hapur
Hapur is a city in the Indian state of Uttar Pradesh, known as an industrial and grain market hub within the Delhi metropolitan area.
- 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: Basti Triple: [Purvanchal, hasCity, Basti]
Generated description
Basti is a city in the Indian state of Uttar Pradesh, known historically as part of the Purvanchal region and serving as an important local administrative and commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Basti Target entity description: Basti is a city in the Indian state of Uttar Pradesh, known historically as part of the Purvanchal region and serving as an important local administrative and commercial center.
-
A.
Basti
Basti is a common German diminutive form of the given name Sebastian.
-
B.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
C.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
-
D.
Ain Sokhna
Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
-
E.
Hapur
Hapur is a city in the Indian state of Uttar Pradesh, known as an industrial and grain market hub within the Delhi metropolitan area.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3c9d7881908c04cef2cb7db745 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ce7385c8190897fd2343c0ebeed |
completed | March 21, 2026, 8:55 a.m. |
| NEDg | Description generation | batch_69be5dadcec88190bf9a272c4a9aef9a |
completed | March 21, 2026, 8:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6159ff7c8190baa116240f76dea5 |
completed | March 21, 2026, 9:14 a.m. |
Created at: March 20, 2026, 1:26 p.m.