Triple
T4102277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World of Speed |
E87967
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
WoS
WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
|
E413786
|
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: WoS | Statement: [World of Speed, abbreviation, WoS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WoS Context triple: [World of Speed, abbreviation, WoS]
-
A.
WOR
WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
-
B.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
C.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
-
D.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
E.
Woo
Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
- 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: WoS Triple: [World of Speed, abbreviation, WoS]
Generated description
WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WoS Target entity description: WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
-
A.
WOR
WOR is a historic New York City AM radio station known for its long-running news, talk, and entertainment programming.
-
B.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
C.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
-
D.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
E.
Woo
Woo is an alternative spelling of the Chinese surname "Wu," commonly borne by people of Chinese heritage around the world.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd1012208190ab0980c661d6bc41 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7a917c8190914a5ffe1297fdc8 |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56cbf12348190836f79e509468a3d |
completed | March 14, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b570aef9008190bf8ef2deb00178ae |
completed | March 14, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:40 p.m.