Triple
T19172625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betul district |
E469361
|
entity |
| Predicate | hasNotableTown |
P14082
|
FINISHED |
| Object |
Amla
Amla is a town in the Betul district of Madhya Pradesh, India, known primarily as a regional railway and administrative center.
|
E1362586
|
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: Amla | Statement: [Betul district, hasNotableTown, Amla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amla Context triple: [Betul district, hasNotableTown, Amla]
-
A.
Amla
Amla is the surname of Hashim Amla, a renowned South African cricketer celebrated for his prolific batting and elegant technique.
-
B.
Aonla
Aonla is a parliamentary constituency in Uttar Pradesh, India, known for its agricultural economy and political significance.
-
C.
Syzygium cumini
Syzygium cumini is a tropical evergreen tree native to the Indian subcontinent, valued for its dark purple edible fruits (jamun) and traditional medicinal uses.
-
D.
Malvan
Malvan is a coastal town in Maharashtra, India, known for its beaches, seafood cuisine, and historic Sindhudurg Fort.
-
E.
Mehsana
Mehsana is a prominent city in the Indian state of Gujarat, known for its dairy industry, oil and natural gas fields, and historical temples.
- 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: Amla Triple: [Betul district, hasNotableTown, Amla]
Generated description
Amla is a town in the Betul district of Madhya Pradesh, India, known primarily as a regional railway and administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amla Target entity description: Amla is a town in the Betul district of Madhya Pradesh, India, known primarily as a regional railway and administrative center.
-
A.
Amla
Amla is the surname of Hashim Amla, a renowned South African cricketer celebrated for his prolific batting and elegant technique.
-
B.
Aonla
Aonla is a parliamentary constituency in Uttar Pradesh, India, known for its agricultural economy and political significance.
-
C.
Syzygium cumini
Syzygium cumini is a tropical evergreen tree native to the Indian subcontinent, valued for its dark purple edible fruits (jamun) and traditional medicinal uses.
-
D.
Malvan
Malvan is a coastal town in Maharashtra, India, known for its beaches, seafood cuisine, and historic Sindhudurg Fort.
-
E.
Mehsana
Mehsana is a prominent city in the Indian state of Gujarat, known for its dairy industry, oil and natural gas fields, and historical temples.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16544948190bd10ca7804dd27a5 |
completed | April 20, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8ac3304819091fa43ec3f7573b6 |
completed | May 15, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a06f9cc015c8190a87518c058e2a233 |
completed | May 15, 2026, 10:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fa3aa394819096ef4b6f3dddba1a |
completed | May 15, 2026, 10:49 a.m. |
Created at: April 10, 2026, 12:06 p.m.