Triple
T13230184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savena River |
E314992
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Savena
Savena is a river in northern Italy that flows through the Emilia-Romagna region, including the area near Bologna.
|
E1028958
|
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: Savena | Statement: [Savena River, hasNameInLanguage, Savena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savena Context triple: [Savena River, hasNameInLanguage, Savena]
-
A.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
B.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
C.
Jolfa
Jolfa is a border city in northwestern Iran, situated along the Aras River near the frontier with Armenia and Azerbaijan, known as a regional trade and transit hub.
-
D.
Delaram
Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
-
E.
Elahieh
Elahieh is an affluent, upscale neighborhood in northern Tehran known for its embassies, luxury residences, and leafy streets.
- 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: Savena Triple: [Savena River, hasNameInLanguage, Savena]
Generated description
Savena is a river in northern Italy that flows through the Emilia-Romagna region, including the area near Bologna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Savena Target entity description: Savena is a river in northern Italy that flows through the Emilia-Romagna region, including the area near Bologna.
-
A.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
B.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
C.
Jolfa
Jolfa is a border city in northwestern Iran, situated along the Aras River near the frontier with Armenia and Azerbaijan, known as a regional trade and transit hub.
-
D.
Delaram
Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
-
E.
Elahieh
Elahieh is an affluent, upscale neighborhood in northern Tehran known for its embassies, luxury residences, and leafy streets.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2c07488190ad07c544cca63a7d |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70408b2088190989c3b38a5d66495 |
completed | May 3, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70518acc0819089a987abfd42f928 |
completed | May 3, 2026, 8:19 a.m. |
Created at: April 9, 2026, 9:21 p.m.