Triple
T3060613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brantas River |
E60586
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
Lodoyo Dam
Lodoyo Dam is a water control and irrigation structure located on the Brantas River in East Java, Indonesia.
|
E331892
|
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: Lodoyo Dam | Statement: [Brantas River, hasDam, Lodoyo Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodoyo Dam Context triple: [Brantas River, hasDam, Lodoyo Dam]
-
A.
Surobi Dam
Surobi Dam is a hydroelectric and irrigation dam located on the Kabul River in eastern Afghanistan.
-
B.
Amawalk Dam
Amawalk Dam is an early 20th-century masonry dam in Westchester County, New York, that impounds the Amawalk Reservoir as part of New York City's water supply system.
-
C.
Harangi Dam
Harangi Dam is a masonry dam built across the Harangi River, a tributary of the Kaveri, in Karnataka, India, primarily used for irrigation and water storage.
-
D.
Sutami Dam
Sutami Dam is a major multipurpose dam in East Java, Indonesia, used primarily for hydroelectric power generation, irrigation, and flood control on the Brantas River.
-
E.
Bargi Dam
Bargi Dam is a major multipurpose dam built on the Narmada River in Madhya Pradesh, India, primarily used for irrigation, hydropower generation, and flood control.
- 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: Lodoyo Dam Triple: [Brantas River, hasDam, Lodoyo Dam]
Generated description
Lodoyo Dam is a water control and irrigation structure located on the Brantas River in East Java, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lodoyo Dam Target entity description: Lodoyo Dam is a water control and irrigation structure located on the Brantas River in East Java, Indonesia.
-
A.
Surobi Dam
Surobi Dam is a hydroelectric and irrigation dam located on the Kabul River in eastern Afghanistan.
-
B.
Amawalk Dam
Amawalk Dam is an early 20th-century masonry dam in Westchester County, New York, that impounds the Amawalk Reservoir as part of New York City's water supply system.
-
C.
Harangi Dam
Harangi Dam is a masonry dam built across the Harangi River, a tributary of the Kaveri, in Karnataka, India, primarily used for irrigation and water storage.
-
D.
Sutami Dam
Sutami Dam is a major multipurpose dam in East Java, Indonesia, used primarily for hydroelectric power generation, irrigation, and flood control on the Brantas River.
-
E.
Bargi Dam
Bargi Dam is a major multipurpose dam built on the Narmada River in Madhya Pradesh, India, primarily used for irrigation, hydropower generation, and flood control.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9e1e248190b5ed5ebcdad1321e |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224b717e081909462645d78b33cc9 |
completed | March 12, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69b22574e7c881908e9645f0869d95a8 |
completed | March 12, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b225f0e0b0819096f8b5f7e7ddd8c3 |
completed | March 12, 2026, 2:33 a.m. |
Created at: March 8, 2026, 3:02 p.m.