Triple
T25766589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit Tricentennial celebrations |
E648898
|
entity |
| Predicate | languageOfMajorEvents |
P15031
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Detroit Tricentennial celebrations, languageOfMajorEvents, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMajorEvents Context triple: [Detroit Tricentennial celebrations, languageOfMajorEvents, English]
-
A.
languageOfEvent
chosen
Indicates the language in which an event is conducted, presented, or communicated.
-
B.
languageOfNOC
Indicates that a specified language is the official or primary language associated with a particular National Olympic Committee (NOC).
-
C.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
D.
shareMajorLanguage
Indicates that the entities have at least one primary or major language in common.
-
E.
majorEventCountry
Indicates that a major event took place in, or is primarily associated with, a particular country.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 22, 2026, 5:11 a.m.