Triple
T2846316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altay S.K. |
E62991
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Altay |
E303197
|
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: Altay | Statement: [Altay S.K., shortName, Altay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altay Context triple: [Altay S.K., shortName, Altay]
-
A.
Büyük Altay
chosen
Büyük Altay is the popular nickname of Altay S.K., a historic Turkish football club based in İzmir.
-
B.
Atakule
Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
-
C.
Oratam
Oratam was a Lenape sachem (chief) known for leading Native American resistance against Dutch colonial forces in 17th-century New Netherland.
-
D.
Kongur Tagh
Kongur Tagh is a massive, glaciated peak in western China that ranks among the highest mountains in the world and dominates the eastern edge of the Pamir region.
-
E.
Sayil
Sayil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its impressive Puuc-style architecture and palace complexes.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3d00708190966a477fdd855f23 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d7c84e8819098089bd1c6874189 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:02 p.m.