Triple
T4903979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassander of Macedon |
E109869
|
entity |
| Predicate | renamedCity |
P22915
|
FINISHED |
| Object | Therma to Thessalonica |
—
|
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: Therma to Thessalonica | Statement: [Cassander of Macedon, renamedCity, Therma to Thessalonica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renamedCity Context triple: [Cassander of Macedon, renamedCity, Therma to Thessalonica]
-
A.
hostCityRenamed
Indicates that the city hosting an event has undergone a name change from its previous official designation.
-
B.
replacesCapitalCity
Indicates that one capital city is substituted for or takes over the role of another as the official capital.
-
C.
cityThenKnownAs
Indicates that an entity had a particular city name during a specified earlier time period, before it was renamed or became known by a different name.
-
D.
formerNameOfCapital
Indicates that one entity was the previous official name of a capital city before it was renamed.
-
E.
cityNowKnownAs
chosen
Indicates that a city has changed its name and specifies the new name it is currently known by.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c306b188190a08a7856beb76db4 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.