Triple
T22675705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parbhani district |
E560338
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Purna
Purna is a town in Maharashtra, India, known locally as a railway junction and administrative center within Parbhani district.
|
E1554432
|
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: Purna | Statement: [Parbhani district, hasTown, Purna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Purna Context triple: [Parbhani district, hasTown, Purna]
-
A.
Purna
Purna is a river in India that serves as one of the important tributaries of the Godavari River.
-
B.
Yaganti
Yaganti is a historic temple town in Andhra Pradesh, India, renowned for its ancient Sri Yagantiswamy (Shiva) temple and distinctive rock formations.
-
C.
Jagaddala
Jagaddala was an important Buddhist monastic university of the Pala era in eastern India, known for its scholastic activity and contributions to late Indian Buddhism.
-
D.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
E.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
- 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: Purna Triple: [Parbhani district, hasTown, Purna]
Generated description
Purna is a town in Maharashtra, India, known locally as a railway junction and administrative center within Parbhani district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Purna Target entity description: Purna is a town in Maharashtra, India, known locally as a railway junction and administrative center within Parbhani district.
-
A.
Purna
Purna is a river in India that serves as one of the important tributaries of the Godavari River.
-
B.
Yaganti
Yaganti is a historic temple town in Andhra Pradesh, India, renowned for its ancient Sri Yagantiswamy (Shiva) temple and distinctive rock formations.
-
C.
Jagaddala
Jagaddala was an important Buddhist monastic university of the Pala era in eastern India, known for its scholastic activity and contributions to late Indian Buddhism.
-
D.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
E.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17823bd1881908958b0a8ba59e199 |
completed | April 29, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e8069108190a2f8038b3e93c6e7 |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0b9f4e57588190bd2f3384e431de48 |
completed | May 18, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9fa0bf9481909e36723646eee750 |
completed | May 18, 2026, 11:24 p.m. |
Created at: April 17, 2026, 3:11 p.m.