Triple
T21245398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahesana district |
E523593
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Kheralu
Kheralu is a town in the Mehsana region of Gujarat, India, known for its local markets and role as a small regional center for surrounding rural areas.
|
E1475674
|
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: Kheralu | Statement: [Mahesana district, hasTown, Kheralu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kheralu Context triple: [Mahesana district, hasTown, Kheralu]
-
A.
Kundarki
Kundarki is a notable town in the Moradabad district of Uttar Pradesh, India, serving as a local hub for trade and administration.
-
B.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
-
C.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
D.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
E.
Kachhhera
Kachhhera is a traditional cotton undergarment worn by Sikhs as one of the five articles of faith symbolizing modesty and self-discipline.
- 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: Kheralu Triple: [Mahesana district, hasTown, Kheralu]
Generated description
Kheralu is a town in the Mehsana region of Gujarat, India, known for its local markets and role as a small regional center for surrounding rural areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kheralu Target entity description: Kheralu is a town in the Mehsana region of Gujarat, India, known for its local markets and role as a small regional center for surrounding rural areas.
-
A.
Kundarki
Kundarki is a notable town in the Moradabad district of Uttar Pradesh, India, serving as a local hub for trade and administration.
-
B.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
-
C.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
D.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
E.
Kachhhera
Kachhhera is a traditional cotton undergarment worn by Sikhs as one of the five articles of faith symbolizing modesty and self-discipline.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0997f4dfd4819096d894c67310fc0c |
completed | May 17, 2026, 10:27 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, 3:47 p.m.