Triple
T67812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiffel Tower |
E1351
|
entity |
| Predicate | inaugurationYear |
P4218
|
FINISHED |
| Object | 1889 |
—
|
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: 1889 | Statement: [Eiffel Tower, inaugurationYear, 1889]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inaugurationYear Context triple: [Eiffel Tower, inaugurationYear, 1889]
-
A.
inaugurationDate
Indicates the date on which an official ceremony formally installs a person into a specific office or position.
-
B.
inaugurationDay
Indicates the specific day on which a formal ceremony is held to induct someone into an official position or office.
-
C.
presidentInaugurated
Indicates that an individual formally assumes the office of president through an official inauguration event at a specific time and place.
-
D.
presidentAtEnactment
Indicates that the person was serving as president at the time a particular law, policy, or act was enacted.
-
E.
inaugurated
Indicates that a person is formally introduced or installed into an official position, office, or role through a ceremonial 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_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.