Triple
T1423738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galatasaray SK |
E30281
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Aslanlar
Aslanlar is the popular nickname for Galatasaray SK, one of Turkey’s most successful and passionately supported football clubs.
|
E163175
|
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: Aslanlar | Statement: [Galatasaray SK, nickname, Aslanlar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aslanlar Context triple: [Galatasaray SK, nickname, Aslanlar]
-
A.
Bel and the Dragon
Bel and the Dragon is an apocryphal addition to the Book of Daniel that recounts stories of the prophet exposing the falsity of idol worship and miraculously surviving a dragon and a lions’ den.
-
B.
Gŵyr
Gŵyr is the Welsh name for the Gower Peninsula, a scenic coastal region in southwest Wales renowned for its beaches, cliffs, and natural beauty.
-
C.
Gryphons
The Gryphons are the varsity athletic teams representing the University of Guelph in Canadian university sports competitions.
-
D.
Magi
The Magi are the wise men or kings from the East in the New Testament who visit the infant Jesus, traditionally bearing gifts of gold, frankincense, and myrrh.
-
E.
Behemoth
Behemoth is a towering steel hypercoaster at Canada's Wonderland known for its massive drops, high speeds, and airtime-filled layout.
- 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: Aslanlar Triple: [Galatasaray SK, nickname, Aslanlar]
Generated description
Aslanlar is the popular nickname for Galatasaray SK, one of Turkey’s most successful and passionately supported football clubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aslanlar Target entity description: Aslanlar is the popular nickname for Galatasaray SK, one of Turkey’s most successful and passionately supported football clubs.
-
A.
Bel and the Dragon
Bel and the Dragon is an apocryphal addition to the Book of Daniel that recounts stories of the prophet exposing the falsity of idol worship and miraculously surviving a dragon and a lions’ den.
-
B.
Gŵyr
Gŵyr is the Welsh name for the Gower Peninsula, a scenic coastal region in southwest Wales renowned for its beaches, cliffs, and natural beauty.
-
C.
Gryphons
The Gryphons are the varsity athletic teams representing the University of Guelph in Canadian university sports competitions.
-
D.
Magi
The Magi are the wise men or kings from the East in the New Testament who visit the infant Jesus, traditionally bearing gifts of gold, frankincense, and myrrh.
-
E.
Behemoth
Behemoth is a towering steel hypercoaster at Canada's Wonderland known for its massive drops, high speeds, and airtime-filled layout.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4bc145c8190a2d7a1d755d18251 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0161e23c819099a1c72627f13dd0 |
completed | March 8, 2026, 4:56 a.m. |
| NEDg | Description generation | batch_69ad01c53e808190824b9702c309f0a2 |
completed | March 8, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0241546881908f1044616255f146 |
completed | March 8, 2026, 4:59 a.m. |
Created at: March 1, 2026, 8 p.m.