Triple
T24516111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Campagna |
E606373
|
entity |
| Predicate | wasDepopulatedIn |
P154146
|
FINISHED |
| Object | Middle Ages |
—
|
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: Middle Ages | Statement: [Roman Campagna, wasDepopulatedIn, Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasDepopulatedIn Context triple: [Roman Campagna, wasDepopulatedIn, Middle Ages]
-
A.
depopulatedDuring
chosen
Indicates that a place lost most or all of its population during a specified time period or event.
-
B.
uninhabitedSince
Indicates that a place or structure has had no inhabitants starting from a specified point in time.
-
C.
demolishedAfter
Indicates that one entity was demolished at a point in time later than the demolition of another entity.
-
D.
formerPopulation
Indicates that an entity once had a certain population value or size during a past time period but no longer does.
-
E.
populationBeforeDestruction
Indicates the number of individuals in a place or group prior to its destruction or elimination.
- F. None of above.
Provenance (3 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_69e2c4c725148190a4e41577c5cb409c |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.