Triple
T8339082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kartal |
E195863
|
entity |
| Predicate | locatedSouthOf |
P9676
|
FINISHED |
| Object | Maltepe |
E654724
|
NE FINISHED |
How this triple was built (2 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: Maltepe | Statement: [Kartal, locatedSouthOf, Maltepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maltepe Context triple: [Kartal, locatedSouthOf, Maltepe]
-
A.
Maltepe
chosen
Maltepe is a residential and commercial district on Istanbul’s Asian side along the Sea of Marmara.
-
B.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
C.
Florya
Florya is a coastal neighborhood in Istanbul, Turkey, known for its residential areas, seaside promenade, and recreational facilities.
-
D.
Medinaceli
Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
-
E.
Çatalca
Çatalca is a rural district on the western outskirts of Istanbul, known for its forests, farmland, and historical fortifications forming part of the city’s traditional land defenses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd68e348190a7cb8639a263b50f |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef2d359208190bdeb494e090920ea |
completed | April 2, 2026, 10:50 p.m. |
Created at: March 30, 2026, 5:57 p.m.