Triple
T674768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaffna |
E13052
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Jaffna Lagoon
Jaffna Lagoon is a large coastal lagoon in northern Sri Lanka known for its rich biodiversity, fishing grounds, and importance to the local Jaffna Peninsula communities.
|
E83285
|
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: Jaffna Lagoon | Statement: [Jaffna, hasLandmark, Jaffna Lagoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaffna Lagoon Context triple: [Jaffna, hasLandmark, Jaffna Lagoon]
-
A.
Batticaloa
Batticaloa is a coastal city in eastern Sri Lanka known historically as an important regional port and trading center.
-
B.
Bala Lake
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
-
C.
Benya Lagoon
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
-
D.
Ulsoor Lake
Ulsoor Lake is one of the largest and oldest lakes in Bengaluru, India, known for its scenic beauty, boating facilities, and surrounding parks.
-
E.
Jellyfish Lake
Jellyfish Lake is a marine lake in Palau famous for its millions of stingless jellyfish and unique snorkeling experiences.
- 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: Jaffna Lagoon Triple: [Jaffna, hasLandmark, Jaffna Lagoon]
Generated description
Jaffna Lagoon is a large coastal lagoon in northern Sri Lanka known for its rich biodiversity, fishing grounds, and importance to the local Jaffna Peninsula communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jaffna Lagoon Target entity description: Jaffna Lagoon is a large coastal lagoon in northern Sri Lanka known for its rich biodiversity, fishing grounds, and importance to the local Jaffna Peninsula communities.
-
A.
Batticaloa
Batticaloa is a coastal city in eastern Sri Lanka known historically as an important regional port and trading center.
-
B.
Bala Lake
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
-
C.
Benya Lagoon
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
-
D.
Ulsoor Lake
Ulsoor Lake is one of the largest and oldest lakes in Bengaluru, India, known for its scenic beauty, boating facilities, and surrounding parks.
-
E.
Jellyfish Lake
Jellyfish Lake is a marine lake in Palau famous for its millions of stingless jellyfish and unique snorkeling experiences.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a1b6588190b0c9215afb3a9200 |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c7ff50088190827743f3f42622ce |
completed | March 2, 2026, 5:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cd1dd7848190a987276500040a4f |
completed | March 2, 2026, 5:47 p.m. |
Created at: March 1, 2026, 7:36 p.m.