Triple
T5238797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kocaeli Province |
E118288
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Darıca
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
|
E510627
|
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: Darıca | Statement: [Kocaeli Province, hasCity, Darıca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darıca Context triple: [Kocaeli Province, hasCity, Darıca]
-
A.
Derince
Derince is an industrial and port city located on the Sea of Marmara in northwestern Turkey.
-
B.
Doğanhisar
Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
-
C.
Orlu
Orlu is a prominent town and commercial hub in southeastern Nigeria that serves as an important center for trade, industry, and regional administration.
-
D.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
E.
Narlıdere
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
- 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: Darıca Triple: [Kocaeli Province, hasCity, Darıca]
Generated description
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darıca Target entity description: Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
-
A.
Derince
Derince is an industrial and port city located on the Sea of Marmara in northwestern Turkey.
-
B.
Doğanhisar
Doğanhisar is a rural district and town in central Turkey known for its agricultural economy and location within the Konya region.
-
C.
Orlu
Orlu is a prominent town and commercial hub in southeastern Nigeria that serves as an important center for trade, industry, and regional administration.
-
D.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
E.
Narlıdere
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b290b88819095bc99c234260d25 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10ca0a1c8190a3cc0537886281e5 |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf1280a8e08190a99d20e50b468afb |
completed | March 21, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf12e32f248190977820dd1220db22 |
completed | March 21, 2026, 9:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.