Triple
T4316117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lielupe |
E96395
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Iecava
Iecava is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
|
E430405
|
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: Iecava | Statement: [Lielupe, hasTributary, Iecava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iecava Context triple: [Lielupe, hasTributary, Iecava]
-
A.
Cernavodă
Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
-
B.
Oltu
Oltu is a historic town in northeastern Turkey, known for its strategic location in the Erzurum region and its distinctive black amber-like gemstone, Oltu stone.
-
C.
Ungheni
Ungheni is a town situated on the Prut River in western Moldova, known as an important border crossing and transport hub between Moldova and Romania.
-
D.
Tisa River
The Tisa River is a major Central and Eastern European waterway that flows through countries including Ukraine, Romania, Hungary, Slovakia, and Serbia before joining the Danube.
-
E.
Baiul
Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
- 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: Iecava Triple: [Lielupe, hasTributary, Iecava]
Generated description
Iecava is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iecava Target entity description: Iecava is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
-
A.
Cernavodă
Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
-
B.
Oltu
Oltu is a historic town in northeastern Turkey, known for its strategic location in the Erzurum region and its distinctive black amber-like gemstone, Oltu stone.
-
C.
Ungheni
Ungheni is a town situated on the Prut River in western Moldova, known as an important border crossing and transport hub between Moldova and Romania.
-
D.
Tisa River
The Tisa River is a major Central and Eastern European waterway that flows through countries including Ukraine, Romania, Hungary, Slovakia, and Serbia before joining the Danube.
-
E.
Baiul
Baiul is the surname of Oksana Baiul, the Ukrainian figure skater who won the 1994 Olympic ladies' singles gold medal.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f60dfc819098202b7eb3bbf402 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d085f78481909bb6dd55bf06d9d6 |
completed | March 14, 2026, 9:17 p.m. |
| NEDg | Description generation | batch_69b5d0f6d1d48190a3ecd1765043ac58 |
completed | March 14, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d18381288190948a7a0c42dc8cbf |
completed | March 14, 2026, 9:22 p.m. |
Created at: March 12, 2026, 11:12 p.m.