Triple
T13432896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potidaea |
E320155
|
entity |
| Predicate | populationAfterSiege |
P109903
|
FINISHED |
| Object | inhabitants evacuated under capitulation terms |
—
|
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: inhabitants evacuated under capitulation terms | Statement: [Potidaea, populationAfterSiege, inhabitants evacuated under capitulation terms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationAfterSiege Context triple: [Potidaea, populationAfterSiege, inhabitants evacuated under capitulation terms]
-
A.
populationAfterDestruction
Indicates the size or composition of a population following an event of destruction or devastation.
-
B.
citySacked
Indicates that a city has been violently attacked, looted, and destroyed or heavily damaged, typically as a result of military conquest.
-
C.
numberOfDestroyedVillages
Indicates the count of villages that have been destroyed in the context of the described situation or event.
-
D.
populationLoss
Indicates a decrease in the number of individuals within a defined population over a given period or due to specific causes.
-
E.
destroyedCity
Indicates that an entity has caused the complete or near-complete destruction of a city.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:40 p.m.