Triple
T67829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiffel Tower |
E1351
|
entity |
| Predicate | completionAnniversary |
P4221
|
FINISHED |
| Object | centennial celebrated in 1989 |
—
|
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: centennial celebrated in 1989 | Statement: [Eiffel Tower, completionAnniversary, centennial celebrated in 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completionAnniversary Context triple: [Eiffel Tower, completionAnniversary, centennial celebrated in 1989]
-
A.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
B.
announcementOccasion
Indicates the specific event, context, or circumstance on the basis of which an announcement is made.
-
C.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
-
D.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a2509b5a088190bb9d2b650aeb8bca |
completed | Feb. 28, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69a24ea749788190bc17865171ff909a |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a2509a1c088190b4afa3045455709a |
completed | Feb. 28, 2026, 2:19 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.