Triple
T7429499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarıyer |
E171451
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Baltalimanı
Baltalimanı is a coastal neighborhood along the Bosphorus in Istanbul, known for its scenic waterfront and residential character.
|
E662869
|
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: Baltalimanı | Statement: [Sarıyer, contains, Baltalimanı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baltalimanı Context triple: [Sarıyer, contains, Baltalimanı]
-
A.
Baltal
Baltal is a small valley and campsite in Jammu and Kashmir, India, that serves as a major base camp and access point for pilgrims traveling to the Amarnath Cave Temple.
-
B.
Altun Kupri
Altun Kupri is a town in northern Iraq known for its significant Iraqi Turkmen population and its strategic location between Erbil and Kirkuk.
-
C.
Angar-Burun
Angar-Burun is a notable summit on the Chatyr-Dag mountain massif in Crimea, known for its karst landscapes and panoramic views.
-
D.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
E.
Yanardag
Yanardag is a natural gas fire that continuously blazes on a hillside near Baku, Azerbaijan, and is one of the country’s most famous “Land of Fire” attractions.
- 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: Baltalimanı Triple: [Sarıyer, contains, Baltalimanı]
Generated description
Baltalimanı is a coastal neighborhood along the Bosphorus in Istanbul, known for its scenic waterfront and residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baltalimanı Target entity description: Baltalimanı is a coastal neighborhood along the Bosphorus in Istanbul, known for its scenic waterfront and residential character.
-
A.
Baltal
Baltal is a small valley and campsite in Jammu and Kashmir, India, that serves as a major base camp and access point for pilgrims traveling to the Amarnath Cave Temple.
-
B.
Altun Kupri
Altun Kupri is a town in northern Iraq known for its significant Iraqi Turkmen population and its strategic location between Erbil and Kirkuk.
-
C.
Angar-Burun
Angar-Burun is a notable summit on the Chatyr-Dag mountain massif in Crimea, known for its karst landscapes and panoramic views.
-
D.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
E.
Yanardag
Yanardag is a natural gas fire that continuously blazes on a hillside near Baku, Azerbaijan, and is one of the country’s most famous “Land of Fire” attractions.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3082f188190af5673d18ac7e87e |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f135a348190ae9edc02a19b2278 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81fffd8c0819080baa0bce5351111 |
completed | March 28, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c820a90ae08190b7872bc44085f4a3 |
completed | March 28, 2026, 6:40 p.m. |
Created at: March 27, 2026, 3:12 p.m.