Triple
T9414556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penna River |
E226982
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
Somasila Dam
Somasila Dam is a major irrigation and water storage structure built across the Penna River in Andhra Pradesh, India.
|
E797551
|
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: Somasila Dam | Statement: [Penna River, hasDam, Somasila Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somasila Dam Context triple: [Penna River, hasDam, Somasila Dam]
-
A.
Gajanur Dam
Gajanur Dam is a scenic reservoir and popular tourist spot in Karnataka, India, known for its lush surroundings and role in irrigation and water management near Shivamogga.
-
B.
Bhushi Dam
Bhushi Dam is a popular masonry dam and scenic picnic spot near Lonavala in Maharashtra, India, known for its cascading water steps and monsoon-time crowds.
-
C.
Navilatirtha Dam
Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
-
D.
Kotmale Dam
Kotmale Dam is a major hydroelectric and irrigation dam in Sri Lanka, forming part of the Mahaweli Development Programme and creating the Kotmale Reservoir.
-
E.
Bhima Dam
Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
- 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: Somasila Dam Triple: [Penna River, hasDam, Somasila Dam]
Generated description
Somasila Dam is a major irrigation and water storage structure built across the Penna River in Andhra Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Somasila Dam Target entity description: Somasila Dam is a major irrigation and water storage structure built across the Penna River in Andhra Pradesh, India.
-
A.
Gajanur Dam
Gajanur Dam is a scenic reservoir and popular tourist spot in Karnataka, India, known for its lush surroundings and role in irrigation and water management near Shivamogga.
-
B.
Bhushi Dam
Bhushi Dam is a popular masonry dam and scenic picnic spot near Lonavala in Maharashtra, India, known for its cascading water steps and monsoon-time crowds.
-
C.
Navilatirtha Dam
Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
-
D.
Kotmale Dam
Kotmale Dam is a major hydroelectric and irrigation dam in Sri Lanka, forming part of the Mahaweli Development Programme and creating the Kotmale Reservoir.
-
E.
Bhima Dam
Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107b63cf48190a072e3434a7b85a8 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108466fb481909682fcaac354b312 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108be82888190b0ec08119cd00b68 |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:47 p.m.