Triple
T21968032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighth Wonder of the World |
E542508
|
entity |
| Predicate | oftenDescribes |
P146736
|
FINISHED |
| Object | record-breaking structures |
—
|
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: record-breaking structures | Statement: [Eighth Wonder of the World, oftenDescribes, record-breaking structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenDescribes Context triple: [Eighth Wonder of the World, oftenDescribes, record-breaking structures]
-
A.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
-
B.
oftenFrom
Indicates that something frequently originates, derives, or comes from a particular source or location.
-
C.
oftenUse
Indicates that one entity frequently or regularly uses, employs, or utilizes another entity.
-
D.
oftenStatedWith
Indicates that one statement, fact, or expression is frequently mentioned or asserted together with another.
-
E.
oftenHave
Indicates that one entity frequently possesses, experiences, or is associated with 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245c5d148190af2a06190ba32feb |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb9b75308190addc3dba7b5d5ddd |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 8:02 p.m.