Triple
T1000331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Södertälje Municipality |
E21587
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Geneta
Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
|
E118528
|
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: Geneta | Statement: [Södertälje Municipality, hasSettlement, Geneta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geneta Context triple: [Södertälje Municipality, hasSettlement, Geneta]
-
A.
Gerar
Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
-
B.
Protogeneia
Protogeneia is a figure in Greek mythology, traditionally regarded as the daughter of Deucalion and Pyrrha and associated with the earliest generations of humankind after the great flood.
-
C.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
D.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
E.
Guna
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
- 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: Geneta Triple: [Södertälje Municipality, hasSettlement, Geneta]
Generated description
Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geneta Target entity description: Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
-
A.
Gerar
Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
-
B.
Protogeneia
Protogeneia is a figure in Greek mythology, traditionally regarded as the daughter of Deucalion and Pyrrha and associated with the earliest generations of humankind after the great flood.
-
C.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
D.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
E.
Guna
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a1aab68819091537958818fce48 |
completed | March 7, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_69ac2a9b66b48190a3c14c431fe41c1e |
completed | March 7, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac2b18ea44819086cd9ead0d8e0d01 |
completed | March 7, 2026, 1:41 p.m. |
Created at: March 1, 2026, 7:41 p.m.