Triple
T21223833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botad district |
E523041
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Barwala
Barwala is a town in the Botad district of Gujarat, India, known primarily as a local commercial and administrative center for the surrounding rural region.
|
E1475642
|
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: Barwala | Statement: [Botad district, hasTown, Barwala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barwala Context triple: [Botad district, hasTown, Barwala]
-
A.
Barwala
Barwala is a town in the Indian state of Gujarat, known as a local administrative and commercial center within the Ahmedabad region.
-
B.
Barwala
Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
-
C.
Barwala
Barwala is a town in the Panchkula district of Haryana, India, known as a local administrative and market center for surrounding rural areas.
-
D.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
-
E.
Baddi
Baddi is an industrial town in the Solan district of Himachal Pradesh, India, known for its large concentration of pharmaceutical and manufacturing units.
- 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: Barwala Triple: [Botad district, hasTown, Barwala]
Generated description
Barwala is a town in the Botad district of Gujarat, India, known primarily as a local commercial and administrative center for the surrounding rural region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barwala Target entity description: Barwala is a town in the Botad district of Gujarat, India, known primarily as a local commercial and administrative center for the surrounding rural region.
-
A.
Barwala
Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
-
B.
Barwala
Barwala is a town in the Panchkula district of Haryana, India, known as a local administrative and market center for surrounding rural areas.
-
C.
Barwala
Barwala is a town in the Indian state of Gujarat, known as a local administrative and commercial center within the Ahmedabad region.
-
D.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
-
E.
Baddi
Baddi is an industrial town in the Solan district of Himachal Pradesh, India, known for its large concentration of pharmaceutical and manufacturing units.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734a9c9f88190817b574f916886e5 |
completed | April 21, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0997f2f2148190bda96ebfd52c046c |
completed | May 17, 2026, 10:26 a.m. |
| NEDg | Description generation | batch_6a09986fabd08190b2b017aceb9827f6 |
completed | May 17, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0998e8f2488190800c67f13fb6b1a4 |
completed | May 17, 2026, 10:31 a.m. |
Created at: April 16, 2026, 3:44 p.m.