Triple
T12552029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anıttepe |
E300119
|
entity |
| Predicate | hasNearbyPark |
P3449
|
FINISHED |
| Object | Anıttepe Park |
E300119
|
NE FINISHED |
How this triple was built (2 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: Anıttepe Park | Statement: [Anıttepe, hasNearbyPark, Anıttepe Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anıttepe Park Context triple: [Anıttepe, hasNearbyPark, Anıttepe Park]
-
A.
Karaalioglu Park
Karaalioglu Park is a large seaside urban park in Antalya, Turkey, known for its scenic Mediterranean views, historic monuments, and popular walking paths.
-
B.
Anıttepe
chosen
Anıttepe is a central hill and neighborhood in Ankara, Turkey, best known as the site of Anıtkabir, the mausoleum of Mustafa Kemal Atatürk.
-
C.
Bornova Büyükpark
Bornova Büyükpark is a central urban park in İzmir’s Bornova district, known as a popular recreational and social gathering area for local residents.
-
D.
Aynalıkavak Pavilion
Aynalıkavak Pavilion is a historic Ottoman waterfront palace complex in Istanbul, notable for its traditional architecture and role as a former imperial residence.
-
E.
İstinye Park
İstinye Park is a large upscale shopping mall and lifestyle center in Istanbul, Turkey, known for its luxury brands, modern architecture, and extensive dining options.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9548444d081908f00cea1ce7032c7 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655853ecc8190b178a489d806a0c4 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:58 p.m.