Triple
T9414535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penna River |
E226982
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Pennar
Pennar is a river in southern India that flows through the states of Karnataka and Andhra Pradesh before emptying into the Bay of Bengal.
|
E797549
|
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: Pennar | Statement: [Penna River, alsoKnownAs, Pennar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pennar Context triple: [Penna River, alsoKnownAs, Pennar]
-
A.
Pennar
Pennar is a residential area in Pembroke Dock, Pembrokeshire, Wales, overlooking the Milford Haven Waterway.
-
B.
Pencader
Pencader is a small rural village in Carmarthenshire, Wales, known historically for its role as a local railway junction and its surrounding agricultural landscape.
-
C.
Poulson
Poulson is the codename for a later-generation Intel Itanium processor microarchitecture designed to improve performance and efficiency in enterprise and mission-critical servers.
-
D.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
E.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
- 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: Pennar Triple: [Penna River, alsoKnownAs, Pennar]
Generated description
Pennar is a river in southern India that flows through the states of Karnataka and Andhra Pradesh before emptying into the Bay of Bengal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pennar Target entity description: Pennar is a river in southern India that flows through the states of Karnataka and Andhra Pradesh before emptying into the Bay of Bengal.
-
A.
Pennar
Pennar is a residential area in Pembroke Dock, Pembrokeshire, Wales, overlooking the Milford Haven Waterway.
-
B.
Pencader
Pencader is a small rural village in Carmarthenshire, Wales, known historically for its role as a local railway junction and its surrounding agricultural landscape.
-
C.
Poulson
Poulson is the codename for a later-generation Intel Itanium processor microarchitecture designed to improve performance and efficiency in enterprise and mission-critical servers.
-
D.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
-
E.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
- 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.