Triple
T13768768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altındağ |
E330819
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Altınpark
Altınpark is a large public park and recreation area in Ankara, Turkey, known for its green spaces, lakes, and cultural and sports facilities.
|
E1059882
|
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: Altınpark | Statement: [Altındağ, hasLandmark, Altınpark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altınpark Context triple: [Altındağ, hasLandmark, Altınpark]
-
A.
Milpark
Milpark is an inner-city area of Johannesburg, South Africa, known for its proximity to major universities, hospitals, and cultural hubs like Braamfontein.
-
B.
Kalorama Park
Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
-
C.
Yıldız Park
Yıldız Park is a large historic urban park in Istanbul, Turkey, known for its wooded hills, Ottoman-era pavilions, and views over the Bosphorus.
-
D.
Hesperia Park
Hesperia Park is a public green space located in the Töölö district of Helsinki, Finland.
-
E.
Umutsuzlar Parkı
Umutsuzlar Parkı is a renowned poetry collection by Turkish modernist poet Edip Cansever, noted for its existential themes and innovative free-verse style.
- 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: Altınpark Triple: [Altındağ, hasLandmark, Altınpark]
Generated description
Altınpark is a large public park and recreation area in Ankara, Turkey, known for its green spaces, lakes, and cultural and sports facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altınpark Target entity description: Altınpark is a large public park and recreation area in Ankara, Turkey, known for its green spaces, lakes, and cultural and sports facilities.
-
A.
Milpark
Milpark is an inner-city area of Johannesburg, South Africa, known for its proximity to major universities, hospitals, and cultural hubs like Braamfontein.
-
B.
Kalorama Park
Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
-
C.
Yıldız Park
Yıldız Park is a large historic urban park in Istanbul, Turkey, known for its wooded hills, Ottoman-era pavilions, and views over the Bosphorus.
-
D.
Hesperia Park
Hesperia Park is a public green space located in the Töölö district of Helsinki, Finland.
-
E.
Umutsuzlar Parkı
Umutsuzlar Parkı is a renowned poetry collection by Turkish modernist poet Edip Cansever, noted for its existential themes and innovative free-verse style.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a866e7cc8190a0381f4469193b6e |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a9f5549c81908a1a0b080acc3396 |
completed | May 3, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aafceea881908737a3d7613db2d5 |
completed | May 3, 2026, 8:07 p.m. |
Created at: April 9, 2026, 10:10 p.m.