Triple
T2812862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aruna Asaf Ali |
E54212
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Kalka
Kalka is a town in the Indian state of Haryana, known as a gateway to the Himalayan hill stations and the starting point of the Kalka–Shimla railway.
|
E301628
|
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: Kalka | Statement: [Aruna Asaf Ali, birthPlace, Kalka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalka Context triple: [Aruna Asaf Ali, birthPlace, Kalka]
-
A.
Kanchrapara
Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
-
B.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
C.
Verbania
Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
-
D.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
-
E.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti 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: Kalka Triple: [Aruna Asaf Ali, birthPlace, Kalka]
Generated description
Kalka is a town in the Indian state of Haryana, known as a gateway to the Himalayan hill stations and the starting point of the Kalka–Shimla railway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalka Target entity description: Kalka is a town in the Indian state of Haryana, known as a gateway to the Himalayan hill stations and the starting point of the Kalka–Shimla railway.
-
A.
Kanchrapara
Kanchrapara is a town in the North 24 Parganas district of West Bengal, India, known historically for its railway workshop and suburban connectivity to Kolkata.
-
B.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
C.
Verbania
Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
-
D.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
-
E.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4a31d081909377044d5ff791b0 |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce9cd4ec81908900ffee0edb70ca |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afd00bd2c88190820058cf093b87d2 |
completed | March 10, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afd08c87648190b880d74c92360c95 |
completed | March 10, 2026, 8:04 a.m. |
Created at: March 6, 2026, 9:59 p.m.