Triple
T4608979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unified Team |
E100506
|
entity |
| Predicate | medalTableRank |
P39351
|
FINISHED |
| Object | 1 at the 1992 Winter Olympics |
—
|
LITERAL 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: 1 at the 1992 Winter Olympics | Statement: [Unified Team, medalTableRank, 1 at the 1992 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalTableRank Context triple: [Unified Team, medalTableRank, 1 at the 1992 Winter Olympics]
-
A.
hostCountryMedalRank
Indicates the ranking position of the host country in the overall medal standings for a given sporting event or competition.
-
B.
medalTableLeader
Indicates that an entity is currently leading the medal table, typically having the highest overall medal standing compared to others.
-
C.
overallRankByTotalMedals
chosen
Indicates the relative ordering of entities based on the total number of medals they have earned, from highest to lowest.
-
D.
thirdInMedalTable
Indicates that an entity finished in third place in a ranking of medal counts (a medal table), typically in a competition or multi-sport event.
-
E.
topGoldMedalCountry
Indicates that a country is the one with the highest number of gold medals in a given competition or context.
- F. None of above.
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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599f08d88190ad4bed8bafb592cd |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.