Triple
T17027249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temerin municipality |
E413097
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Siren
Siren is a settlement located within the municipality of Temerin in northern Serbia’s Vojvodina region.
|
E1246484
|
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: Siren | Statement: [Temerin municipality, containsSettlement, Siren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siren Context triple: [Temerin municipality, containsSettlement, Siren]
-
A.
Siren
"Siren" is a 1975 art rock album by Roxy Music, noted for its sophisticated sound, innovative production, and iconic cover art.
-
B.
Siren
Siren is a 1998 alternative rock album by Bermudian singer-songwriter Heather Nova, known for its atmospheric sound and emotive, introspective lyrics.
-
C.
Sirens
"Sirens" is a British comedy-drama television series in which Richard Madden stars as a paramedic navigating the darkly humorous and chaotic realities of emergency medical work.
-
D.
Sirens
"Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
-
E.
Sirens
"Sirens" is a 2015 indie-folk album by The Weepies known for its intimate songwriting and gentle, melodic sound.
- 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: Siren Triple: [Temerin municipality, containsSettlement, Siren]
Generated description
Siren is a settlement located within the municipality of Temerin in northern Serbia’s Vojvodina region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siren Target entity description: Siren is a settlement located within the municipality of Temerin in northern Serbia’s Vojvodina region.
-
A.
Siren
"Siren" is a 1975 art rock album by Roxy Music, noted for its sophisticated sound, innovative production, and iconic cover art.
-
B.
Siren
Siren is a 1998 alternative rock album by Bermudian singer-songwriter Heather Nova, known for its atmospheric sound and emotive, introspective lyrics.
-
C.
Sirens
"Sirens" is a British comedy-drama television series in which Richard Madden stars as a paramedic navigating the darkly humorous and chaotic realities of emergency medical work.
-
D.
Sirens
"Sirens" is a reflective, melodic rock ballad by Pearl Jam known for its emotional lyrics and expansive, atmospheric sound.
-
E.
Sirens
"Sirens" is a 2015 indie-folk album by The Weepies known for its intimate songwriting and gentle, melodic sound.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d5ed388190871aa738cac04b65 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011cfb74b88190bbd5af862727790f |
completed | May 11, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011dad838c8190a1ea560680c9ca57 |
completed | May 11, 2026, 12:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.