Triple
T10242295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assi River |
E243623
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object |
Assi Nala
Assi Nala is a small river or stream in Varanasi, India, commonly identified as the Assi River and known for meeting the Ganges near Assi Ghat.
|
E852986
|
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: Assi Nala | Statement: [Assi River, knownAs, Assi Nala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assi Nala Context triple: [Assi River, knownAs, Assi Nala]
-
A.
Aasai
Aasai is a 1995 Tamil romantic thriller film that gained widespread recognition for its gripping storyline and for significantly boosting actor Ajith Kumar’s early career.
-
B.
Sabya
Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
-
C.
Nelum Kuluna
Nelum Kuluna is the popular Sinhala name for the Lotus Tower, a prominent telecommunications and observation tower in Colombo, Sri Lanka.
-
D.
Janala
Janala is a Bengali film directed by Buddhadeb Dasgupta, known for its poetic storytelling and contemplative exploration of human relationships and memory.
-
E.
Bhilala
The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
- 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: Assi Nala Triple: [Assi River, knownAs, Assi Nala]
Generated description
Assi Nala is a small river or stream in Varanasi, India, commonly identified as the Assi River and known for meeting the Ganges near Assi Ghat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Assi Nala Target entity description: Assi Nala is a small river or stream in Varanasi, India, commonly identified as the Assi River and known for meeting the Ganges near Assi Ghat.
-
A.
Aasai
Aasai is a 1995 Tamil romantic thriller film that gained widespread recognition for its gripping storyline and for significantly boosting actor Ajith Kumar’s early career.
-
B.
Sabya
Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
-
C.
Nelum Kuluna
Nelum Kuluna is the popular Sinhala name for the Lotus Tower, a prominent telecommunications and observation tower in Colombo, Sri Lanka.
-
D.
Janala
Janala is a Bengali film directed by Buddhadeb Dasgupta, known for its poetic storytelling and contemplative exploration of human relationships and memory.
-
E.
Bhilala
The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d229c1ac8190a86e911aea47a56d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f78a6efc819091f8303a6cfe4c8b |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:25 a.m.