Triple
T23193310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trishakti Corps |
E579806
|
entity |
| Predicate | garrisonLocation |
P40
|
FINISHED |
| Object |
Sukna
Sukna is a military cantonment town in West Bengal, India, known primarily as the headquarters of the Indian Army’s Trishakti Corps near Siliguri.
|
E1573889
|
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: Sukna | Statement: [Trishakti Corps, garrisonLocation, Sukna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukna Context triple: [Trishakti Corps, garrisonLocation, Sukna]
-
A.
Jangpura
Jangpura is a residential and commercial neighborhood in South Delhi, India, known for its central location, diverse community, and proximity to major city landmarks.
-
B.
Padukka
Padukka is a suburban town in Sri Lanka’s Western Province, situated inland from central Colombo and known for its semi-rural character and growing residential communities.
-
C.
Sukhrip
Sukhrip is a figure from the Ramakien, the Thai adaptation of the Ramayana, known as a monkey ally and supporter of the hero Phra Ram.
-
D.
Nokha
Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
-
E.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
- 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: Sukna Triple: [Trishakti Corps, garrisonLocation, Sukna]
Generated description
Sukna is a military cantonment town in West Bengal, India, known primarily as the headquarters of the Indian Army’s Trishakti Corps near Siliguri.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sukna Target entity description: Sukna is a military cantonment town in West Bengal, India, known primarily as the headquarters of the Indian Army’s Trishakti Corps near Siliguri.
-
A.
Jangpura
Jangpura is a residential and commercial neighborhood in South Delhi, India, known for its central location, diverse community, and proximity to major city landmarks.
-
B.
Padukka
Padukka is a suburban town in Sri Lanka’s Western Province, situated inland from central Colombo and known for its semi-rural character and growing residential communities.
-
C.
Sukhrip
Sukhrip is a figure from the Ramakien, the Thai adaptation of the Ramayana, known as a monkey ally and supporter of the hero Phra Ram.
-
D.
Nokha
Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
-
E.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd971d08190a132d24094e0c37b |
completed | April 29, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30ba98348190ba810aaaeb7abb84 |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c336753ac819085038351f38039d8 |
completed | May 19, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c341aead08190955638f4ce8c1c32 |
completed | May 19, 2026, 9:57 a.m. |
Created at: April 17, 2026, 4:06 p.m.