Triple
T7175841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maçka campus |
E167316
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Maçka, Istanbul
Maçka, Istanbul is a central neighborhood on the European side of Istanbul known for its parks, historic buildings, and university campuses.
|
E646554
|
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: Maçka, Istanbul | Statement: [Maçka campus, locatedIn, Maçka, Istanbul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maçka, Istanbul Context triple: [Maçka campus, locatedIn, Maçka, Istanbul]
-
A.
Fatih, Istanbul
Fatih is a historic central district of Istanbul known for its dense concentration of Ottoman-era architecture, religious institutions, and educational establishments.
-
B.
Medinaceli
Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
-
C.
Ortaköy
Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
-
D.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
E.
Brusa Bezistan
Brusa Bezistan is a historic covered market building in Sarajevo’s old bazaar area, known for its Ottoman-era architecture and traditional trading stalls.
- 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: Maçka, Istanbul Triple: [Maçka campus, locatedIn, Maçka, Istanbul]
Generated description
Maçka, Istanbul is a central neighborhood on the European side of Istanbul known for its parks, historic buildings, and university campuses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maçka, Istanbul Target entity description: Maçka, Istanbul is a central neighborhood on the European side of Istanbul known for its parks, historic buildings, and university campuses.
-
A.
Fatih, Istanbul
Fatih is a historic central district of Istanbul known for its dense concentration of Ottoman-era architecture, religious institutions, and educational establishments.
-
B.
Medinaceli
Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
-
C.
Ortaköy
Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
-
D.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
E.
Brusa Bezistan
Brusa Bezistan is a historic covered market building in Sarajevo’s old bazaar area, known for its Ottoman-era architecture and traditional trading stalls.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88ec6a8819083cbc3f4c39b8c79 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b9281e808190ac2a8ad585a70ea0 |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7b9993f40819098c59865a3e64532 |
completed | March 28, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba4f196c8190b29e6ddc091f11a6 |
completed | March 28, 2026, 11:23 a.m. |
Created at: March 27, 2026, 2:48 p.m.