Triple
T7862169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istanbul Province |
E182524
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Zeytinburnu |
E653281
|
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: Zeytinburnu | Statement: [Istanbul Province, hasDistrict, Zeytinburnu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeytinburnu Context triple: [Istanbul Province, hasDistrict, Zeytinburnu]
-
A.
Zeytinburnu
chosen
Zeytinburnu is a densely populated working- and middle-class district on Istanbul’s European side, known as an early industrial area and a key transport hub within the city.
-
B.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
C.
Gölbaşı
Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
-
D.
Maltepe
Maltepe is a residential and commercial district on Istanbul’s Asian side along the Sea of Marmara.
-
E.
Sarayönü
Sarayönü is a rural district and town in central Turkey, located within Konya Province and known for its agricultural activities on the Central Anatolian plateau.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36be5f408190b82a097b0825c57a |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9423b4608190acbe4a3141890a05 |
completed | April 1, 2026, 9:54 p.m. |
Created at: March 30, 2026, 4:53 p.m.