Triple
T16940672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artuqid dynasty |
E410941
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Hasankeyf |
E1186902
|
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: Hasankeyf | Statement: [Artuqid dynasty, country, Hasankeyf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasankeyf Context triple: [Artuqid dynasty, country, Hasankeyf]
-
A.
Hasankeyf
chosen
Hasankeyf is an ancient town in southeastern Turkey renowned for its rich archaeological heritage and dramatic setting along the Tigris River.
-
B.
Seydikemer
Seydikemer is a rural district and town in southwestern Turkey known for its agricultural landscape and proximity to popular coastal and historical sites in Muğla Province.
-
C.
Gemlik
Gemlik is a coastal town and district in Bursa Province, northwestern Turkey, known for its port on the Sea of Marmara and its olive production.
-
D.
Suşehri
Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
-
E.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfacdbc48190988ac259712bb9e8 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017932fd5481909bf3c63409fd6da6 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:31 a.m.