Triple
T14335911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darshan Upadhyaya |
E355465
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object | Dignitas |
E1092948
|
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: Dignitas | Statement: [Darshan Upadhyaya, team, Dignitas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dignitas Context triple: [Darshan Upadhyaya, team, Dignitas]
-
A.
Dignitas
chosen
Dignitas is a professional esports organization best known for fielding competitive teams in games like League of Legends.
-
B.
Dianema
Dianema is a small genus of South American freshwater catfish known for their armored bodies and bottom-dwelling behavior.
-
C.
Toten
Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
-
D.
Langdarma
Langdarma was a 9th-century Tibetan king known for his persecution of Buddhism and for presiding over the collapse of the Tibetan Empire.
-
E.
Saint-Martory
Saint-Martory is a small commune in southwestern France, known for its historic bridge over the Garonne River and its location in the Haute-Garonne department of the Occitanie region.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c3f81e881909f742d0442e99dd6 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:14 a.m.