Triple
T11440801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2008 site |
E271137
|
entity |
| Predicate | openingYearAsExpoSite |
P99312
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Expo 2008 site, openingYearAsExpoSite, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingYearAsExpoSite Context triple: [Expo 2008 site, openingYearAsExpoSite, 2008]
-
A.
yearOpenedToPublic
Indicates the calendar year in which something (such as a place, facility, or service) was first made accessible to the general public.
-
B.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
C.
openedAsMuseumIn
Indicates that a place or building began operating as a museum in a specified year or at a specified time.
-
D.
observationDeckOpeningDate
Indicates the date on which an observation deck was first opened to the public.
-
E.
openingDateAsPark
Indicates the date on which a place or area was first officially opened and began operating as a park.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d80888190c8190b6365550ffe4931c |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d800115af08190bba53dd3ff561ca1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.