Triple
T28073641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Indian Premier League |
E709473
|
entity |
| Predicate | openingPhaseHostCountry |
P169578
|
FINISHED |
| Object | United Arab Emirates |
—
|
NE NERFINISHED |
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: United Arab Emirates | Statement: [2014 Indian Premier League, openingPhaseHostCountry, United Arab Emirates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingPhaseHostCountry Context triple: [2014 Indian Premier League, openingPhaseHostCountry, United Arab Emirates]
-
A.
openingCountry
Indicates the country in which something (such as a business, event, or production) is first opened, launched, or premiered.
-
B.
secondPhaseHostCountry
Indicates that a country serves as the host location for the second phase of a multi-phase event, program, or process.
-
C.
proposedHostCountry
Indicates the country that is being suggested or designated to host a particular event, activity, or entity.
-
D.
eventHostCountries
Indicates that the subject countries serve as hosts for a particular event or set of events.
-
E.
semiFinalHostCountry
Indicates the country that serves as the host location for a semifinal stage of a competition or event.
- F. None of above. chosen
Provenance (4 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 27, 2026, 8:47 p.m.