Triple
T12125260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Parisian Macao |
E288793
|
entity |
| Predicate | EiffelTowerReplicaScale |
P103528
|
FINISHED |
| Object | approximately half-scale |
—
|
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: approximately half-scale | Statement: [The Parisian Macao, EiffelTowerReplicaScale, approximately half-scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EiffelTowerReplicaScale Context triple: [The Parisian Macao, EiffelTowerReplicaScale, approximately half-scale]
-
A.
exhibitionScale
Indicates the relative size, scope, or extent of an exhibition in which an entity is presented or involved.
-
B.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
C.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
D.
statueWeight
Indicates that a statue has a specific weight or mass.
-
E.
hasApproximateNumberOfMiniatures
Indicates that an entity is associated with an estimated or non-exact count of miniatures.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.