Triple
T22906974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadnagar |
E568473
|
entity |
| Predicate | hasHistoricalName |
P2834
|
FINISHED |
| Object |
Anandapura
Anandapura is an ancient historical name for the town of Vadnagar in present-day Gujarat, India.
|
E1560544
|
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: Anandapura | Statement: [Vadnagar, hasHistoricalName, Anandapura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anandapura Context triple: [Vadnagar, hasHistoricalName, Anandapura]
-
A.
Avaniapuram
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
-
B.
Bhagwanpura
Bhagwanpura is a town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and market center for surrounding rural areas.
-
C.
Bhargavapuri
Bhargavapuri is a traditional pilgrimage site in Hindu lore associated with the sage Jamadagni and his lineage.
-
D.
Gautampura
Gautampura is a town in the Malwa region of Madhya Pradesh, India, known locally as a commercial and cultural center for the surrounding rural area.
-
E.
Ramachandrapuram
Ramachandrapuram is a town in the Indian state of Andhra Pradesh, known as a local commercial and administrative center in the East Godavari region.
- 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: Anandapura Triple: [Vadnagar, hasHistoricalName, Anandapura]
Generated description
Anandapura is an ancient historical name for the town of Vadnagar in present-day Gujarat, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anandapura Target entity description: Anandapura is an ancient historical name for the town of Vadnagar in present-day Gujarat, India.
-
A.
Avaniapuram
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
-
B.
Bhagwanpura
Bhagwanpura is a town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and market center for surrounding rural areas.
-
C.
Bhargavapuri
Bhargavapuri is a traditional pilgrimage site in Hindu lore associated with the sage Jamadagni and his lineage.
-
D.
Gautampura
Gautampura is a town in the Malwa region of Madhya Pradesh, India, known locally as a commercial and cultural center for the surrounding rural area.
-
E.
Ramachandrapuram
Ramachandrapuram is a town in the Indian state of Andhra Pradesh, known as a local commercial and administrative center in the East Godavari region.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801a48948190b5f51f1d02351fc7 |
completed | April 29, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9cfe238819094a5802343d0feec |
completed | May 19, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_6a0bbb4c32a4819086a4bfdf25476d78 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc15b59c8190b918d551b1fb3230 |
completed | May 19, 2026, 1:25 a.m. |
Created at: April 17, 2026, 3:41 p.m.