Triple
T23734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of Liberty |
E470
|
entity |
| Predicate | dedicatedOn |
P1273
|
FINISHED |
| Object | 1886-10-28 |
—
|
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: 1886-10-28 | Statement: [Statue of Liberty, dedicatedOn, 1886-10-28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedOn Context triple: [Statue of Liberty, dedicatedOn, 1886-10-28]
-
A.
dedicated
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
B.
dedicationDate
chosen
Indicates the date on which something (such as a building, monument, or work) is formally dedicated or inaugurated.
-
C.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
D.
adoptedBy
Indicates that an entity has been taken in and legally or formally accepted as a child, member, or responsibility by another entity.
-
E.
commissionedBy
Indicates that one entity has been formally requested, authorized, or hired by another entity to create, perform, or carry out something.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246e94ca881908f7a7d2c0b293033 |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a246560af88190961ea00b35cf9388 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.