Triple
T15095164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surat metropolitan region |
E360518
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Palsana
Palsana is a suburban area within the Surat metropolitan region in the Indian state of Gujarat, known for its growing residential and industrial development.
|
E1142665
|
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: Palsana | Statement: [Surat metropolitan region, hasSuburb, Palsana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palsana Context triple: [Surat metropolitan region, hasSuburb, Palsana]
-
A.
Sonpur
Sonpur is a town in the Indian state of Bihar, known for its location near the confluence of the Ganges and Gandak rivers and for hosting one of Asia’s largest traditional cattle fairs.
-
B.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
-
C.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
D.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
-
E.
Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
- 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: Palsana Triple: [Surat metropolitan region, hasSuburb, Palsana]
Generated description
Palsana is a suburban area within the Surat metropolitan region in the Indian state of Gujarat, known for its growing residential and industrial development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palsana Target entity description: Palsana is a suburban area within the Surat metropolitan region in the Indian state of Gujarat, known for its growing residential and industrial development.
-
A.
Sonpur
Sonpur is a town in the Indian state of Bihar, known for its location near the confluence of the Ganges and Gandak rivers and for hosting one of Asia’s largest traditional cattle fairs.
-
B.
Chandanpura
Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
-
C.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
D.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
-
E.
Tuljapur
Tuljapur is a town in Maharashtra, India, renowned as a major pilgrimage center for the goddess Bhavani.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054571a48190a57055c0d6e90f82 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31fa31c8190a22a27f5572e4334 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed3e43328819081017b9666ec324a |
completed | May 9, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed43b1dd48190b06a7b7fd4d88c93 |
completed | May 9, 2026, 6:29 a.m. |
Created at: April 10, 2026, 3:04 a.m.