Triple
T7175444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakarya |
E167306
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Izmit
Izmit is an industrial and port city in northwestern Turkey, located east of Istanbul along the Gulf of Izmit.
|
E654719
|
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: Izmit | Statement: [Sakarya, nearbyCity, Izmit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izmit Context triple: [Sakarya, nearbyCity, Izmit]
-
A.
Ardahan
Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
-
B.
Isparta
Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
-
C.
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.
-
D.
Trabzon
Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
-
E.
Zeytinburnu
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.
- 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: Izmit Triple: [Sakarya, nearbyCity, Izmit]
Generated description
Izmit is an industrial and port city in northwestern Turkey, located east of Istanbul along the Gulf of Izmit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Izmit Target entity description: Izmit is an industrial and port city in northwestern Turkey, located east of Istanbul along the Gulf of Izmit.
-
A.
Ardahan
Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
-
B.
Isparta
Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
-
C.
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.
-
D.
Trabzon
Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
-
E.
Zeytinburnu
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.
- 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_69c7e516e3708190b4025e1a5e22d537 |
completed | March 28, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_69c7e64cdce48190884b3c5e2ceaf60e |
completed | March 28, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e6ac5dd08190bb84259cbb44cba9 |
completed | March 28, 2026, 2:33 p.m. |
Created at: March 27, 2026, 2:48 p.m.