Triple
T1393685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Commonwealth Games |
E30616
|
entity |
| Predicate | hostNationRank |
P12121
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2014 Commonwealth Games, hostNationRank, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostNationRank Context triple: [2014 Commonwealth Games, hostNationRank, 4]
-
A.
hostNationMedalRank
chosen
Indicates the ranking position of the host nation in the overall medal standings for a sporting event or multi-sport competition.
-
B.
hostNationCapital
Indicates that a city serves as the capital of a particular host nation.
-
C.
hostNationTotalMedals
Indicates the total number of medals won by the nation hosting a given sporting event or competition.
-
D.
countryRankContext
Indicates the relative position or ranking of a country within a specified contextual framework (such as economic, political, or performance-based criteria).
-
E.
globalRanking
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c37cd99081908d16014e0b99992d |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.