Triple
T593675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SUE the T. rex |
E17330
|
entity |
| Predicate | replicasDisplayedIn |
P16047
|
FINISHED |
| Object | multiple museums worldwide |
—
|
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: multiple museums worldwide | Statement: [SUE the T. rex, replicasDisplayedIn, multiple museums worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replicasDisplayedIn Context triple: [SUE the T. rex, replicasDisplayedIn, multiple museums worldwide]
-
A.
displayedWith
Indicates that one entity is shown or presented together alongside another entity in the same context or view.
-
B.
mirrorCount
Indicates the number of mirrors associated with or present in relation to a given entity or context.
-
C.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
-
D.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
E.
numberOfDomes
Indicates the quantity of domes that an entity possesses or is associated with.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd15c5881909b59ed4c88687e7b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.