Triple
T16685787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pimpri-Chinchwad |
E405457
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Nigdi
Nigdi is a prominent residential and commercial suburb in the Pimpri-Chinchwad area of Pune, Maharashtra, known for its planned layout and connectivity.
|
E1228635
|
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: Nigdi | Statement: [Pimpri-Chinchwad, hasSuburb, Nigdi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigdi Context triple: [Pimpri-Chinchwad, hasSuburb, Nigdi]
-
A.
Kondura
Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
-
B.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
C.
Tchaman
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
-
D.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
E.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
- 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: Nigdi Triple: [Pimpri-Chinchwad, hasSuburb, Nigdi]
Generated description
Nigdi is a prominent residential and commercial suburb in the Pimpri-Chinchwad area of Pune, Maharashtra, known for its planned layout and connectivity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nigdi Target entity description: Nigdi is a prominent residential and commercial suburb in the Pimpri-Chinchwad area of Pune, Maharashtra, known for its planned layout and connectivity.
-
A.
Kondura
Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
-
B.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
C.
Tchaman
Tchaman is a Kwa language of the Central Tano branch spoken primarily by the Tchaman (Ébrié) people in southern Côte d’Ivoire.
-
D.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
E.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091966fbc81908cd1db230ddbb82b |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00920dd72c8190b30d4edd779e7029 |
completed | May 10, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0092e322d08190862ae42a28c9e5cf |
completed | May 10, 2026, 2:14 p.m. |
Created at: April 10, 2026, 5:19 a.m.