Triple
T13251230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kızılay |
E315533
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Sıhhiye
Sıhhiye is a central district and major transportation hub in Ankara, Turkey, known for its government buildings, hospitals, and busy urban thoroughfares.
|
E1085317
|
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: Sıhhiye | Statement: [Kızılay, locatedNear, Sıhhiye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sıhhiye Context triple: [Kızılay, locatedNear, Sıhhiye]
-
A.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
B.
Güzelyurt
Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
-
C.
Sivrice
Sivrice is a small town and district in eastern Turkey known for its location on the shores of Lake Hazar in Elazığ Province.
-
D.
Orhangazi
Orhangazi is a town and district in northwestern Turkey known for its olive cultivation and location near Lake İznik in Bursa Province.
-
E.
İnhisar
İnhisar is a small town and district located in Turkey's Bilecik Province in the Marmara region.
- 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: Sıhhiye Triple: [Kızılay, locatedNear, Sıhhiye]
Generated description
Sıhhiye is a central district and major transportation hub in Ankara, Turkey, known for its government buildings, hospitals, and busy urban thoroughfares.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sıhhiye Target entity description: Sıhhiye is a central district and major transportation hub in Ankara, Turkey, known for its government buildings, hospitals, and busy urban thoroughfares.
-
A.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
B.
Güzelyurt
Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
-
C.
Sivrice
Sivrice is a small town and district in eastern Turkey known for its location on the shores of Lake Hazar in Elazığ Province.
-
D.
Orhangazi
Orhangazi is a town and district in northwestern Turkey known for its olive cultivation and location near Lake İznik in Bursa Province.
-
E.
İnhisar
İnhisar is a small town and district located in Turkey's Bilecik Province in the Marmara region.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f73423c8190932a9edac56df383 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19226eb881908f76134a04e72548 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd1bdca600819081ee087a071f7684 |
completed | May 7, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1cb6d2b88190a5976197144277f6 |
completed | May 7, 2026, 11:13 p.m. |
Created at: April 9, 2026, 9:24 p.m.