Triple
T7322626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thane |
E168787
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Naupada
Naupada is a prominent residential and commercial locality within the city of Thane in Maharashtra, India.
|
E656970
|
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: Naupada | Statement: [Thane, hasSuburb, Naupada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naupada Context triple: [Thane, hasSuburb, Naupada]
-
A.
Navsari
Navsari is a city in the Indian state of Gujarat known historically as a center of Parsi culture and commerce.
-
B.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
C.
Kanchrapara
Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
-
D.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
E.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
- 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: Naupada Triple: [Thane, hasSuburb, Naupada]
Generated description
Naupada is a prominent residential and commercial locality within the city of Thane in Maharashtra, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naupada Target entity description: Naupada is a prominent residential and commercial locality within the city of Thane in Maharashtra, India.
-
A.
Navsari
Navsari is a city in the Indian state of Gujarat known historically as a center of Parsi culture and commerce.
-
B.
Vikrampura
Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
-
C.
Kanchrapara
Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
-
D.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
E.
Nanakramguda
Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0446628819093e96236f1aa4a9b |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0609dc81909f298d3963fc88af |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7efbe72c88190b3523c05224d13b3 |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f053d2108190a0f5e3b1a3516171 |
completed | March 28, 2026, 3:14 p.m. |
Created at: March 27, 2026, 3:03 p.m.