Triple
T7458549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petrie Museum of Egyptian Archaeology |
E176185
|
entity |
| Predicate | usesCollectionFor |
P77025
|
FINISHED |
| Object | research |
—
|
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: research | Statement: [Petrie Museum of Egyptian Archaeology, usesCollectionFor, research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCollectionFor Context triple: [Petrie Museum of Egyptian Archaeology, usesCollectionFor, research]
-
A.
isCollectionOf
Indicates that one entity is a group or aggregate composed of multiple instances or elements of another entity.
-
B.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
C.
formerCollectionOf
Indicates that an entity once served as a collection or repository for another entity, but no longer holds that role.
-
D.
hasCollectionFrom
Indicates that an entity possesses or maintains a collection that originates from, or is sourced from, another specified entity.
-
E.
hasCollectionDedicatedTo
Indicates that one entity maintains a collection specifically devoted or dedicated to 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3b1f18881908140a6191d5478b5 |
completed | March 27, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:35 p.m.