Triple
T35684272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museo Civico di Pistoia |
E1031095
|
entity |
| Predicate | hasCollectionChronology |
P49868
|
FINISHED |
| Object | Middle Ages |
E2729
|
NE 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: Middle Ages | Statement: [Museo Civico di Pistoia, hasCollectionChronology, Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectionChronology Context triple: [Museo Civico di Pistoia, hasCollectionChronology, Middle Ages]
-
A.
hasChronologyItem
Indicates that something is associated with a specific item or entry within an ordered chronological sequence or timeline.
-
B.
hasChronologyRelation
Indicates a temporal ordering relationship between entities, specifying how one relates to another in time (e.g., before, after, or overlapping).
-
C.
hasChronologyStatus
Indicates the temporal or sequential status of something within a chronology, such as whether its position or order in time is known, uncertain, or otherwise classified.
-
D.
hasCollectionFromPeriod
chosen
Indicates that a collection originates from, or is associated with, a specific historical or temporal period.
-
E.
hasHistoricCollection
Indicates that an entity possesses or maintains a collection of items that are of historical significance.
- F. None of above.
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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38727d95248190b37b13aaa655be95 |
completed | June 21, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.