Triple
T23082840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unnao district |
E575522
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Safipur
Safipur is a town in the Unnao district of Uttar Pradesh, India, known for its local markets and role as a regional administrative and commercial center.
|
E1570328
|
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: Safipur | Statement: [Unnao district, hasCity, Safipur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safipur Context triple: [Unnao district, hasCity, Safipur]
-
A.
Nooriabad
Nooriabad is an industrial town in the Jamshoro District of Sindh, Pakistan, known for its manufacturing zones and proximity to Karachi.
-
B.
Jafrabad
Jafrabad is a coastal town in the Indian state of Gujarat, known for its fishing industry and location along the Arabian Sea.
-
C.
Shahhat
Shahhat is a town in northeastern Libya known for its proximity to the ancient Greek city of Cyrene and its location in the fertile Jabal al Akhdar region.
-
D.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
E.
Shahabad
Shahabad is a town in the Kurukshetra district of Haryana, India, known historically by its former name Shahbad Markanda.
- 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: Safipur Triple: [Unnao district, hasCity, Safipur]
Generated description
Safipur is a town in the Unnao district of Uttar Pradesh, India, known for its local markets and role as a regional administrative and commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Safipur Target entity description: Safipur is a town in the Unnao district of Uttar Pradesh, India, known for its local markets and role as a regional administrative and commercial center.
-
A.
Nooriabad
Nooriabad is an industrial town in the Jamshoro District of Sindh, Pakistan, known for its manufacturing zones and proximity to Karachi.
-
B.
Jafrabad
Jafrabad is a coastal town in the Indian state of Gujarat, known for its fishing industry and location along the Arabian Sea.
-
C.
Shahhat
Shahhat is a town in northeastern Libya known for its proximity to the ancient Greek city of Cyrene and its location in the fertile Jabal al Akhdar region.
-
D.
Shahabad
Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
-
E.
Shahabad
Shahabad is a town in the Kurukshetra district of Haryana, India, known historically by its former name Shahbad Markanda.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da239e48190ad041261c6b510a0 |
completed | April 29, 2026, 4:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15b0a6ac819085f13e7bdc82840f |
completed | May 19, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_6a0c175e246081909d6451f245ccfe66 |
completed | May 19, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c1820a4d88190aed59f50b4e7ec47 |
completed | May 19, 2026, 7:58 a.m. |
Created at: April 17, 2026, 3:56 p.m.