Triple
T2837435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İzmir Metro |
E62383
|
entity |
| Predicate | connectsDistrict |
P2564
|
FINISHED |
| Object |
Bornova
Bornova is a populous district of İzmir, Turkey, known for its large university campus, residential neighborhoods, and role as a key suburban hub of the city.
|
E304448
|
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: Bornova | Statement: [İzmir Metro, connectsDistrict, Bornova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bornova Context triple: [İzmir Metro, connectsDistrict, Bornova]
-
A.
Bradina
Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
-
B.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
C.
Sovana
Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
-
D.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
-
E.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
- 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: Bornova Triple: [İzmir Metro, connectsDistrict, Bornova]
Generated description
Bornova is a populous district of İzmir, Turkey, known for its large university campus, residential neighborhoods, and role as a key suburban hub of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bornova Target entity description: Bornova is a populous district of İzmir, Turkey, known for its large university campus, residential neighborhoods, and role as a key suburban hub of the city.
-
A.
Bradina
Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
-
B.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
C.
Sovana
Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
-
D.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
-
E.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeede0488190a9782f55b57559ee |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8cbaa4081909ff4e9fdf590e352 |
completed | March 10, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_69afea1732b481909a8df01d80ca1bd4 |
completed | March 10, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00eff94b481909a4cc08c8494870c |
completed | March 10, 2026, 12:30 p.m. |
Created at: March 6, 2026, 10:01 p.m.