Triple
T6413444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | olive tree of Athena |
E127764
|
entity |
| Predicate | reasonForCityName |
P7885
|
FINISHED |
| Object | Athens named after Athena |
—
|
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: Athens named after Athena | Statement: [olive tree of Athena, reasonForCityName, Athens named after Athena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForCityName Context triple: [olive tree of Athena, reasonForCityName, Athens named after Athena]
-
A.
reasonForName
chosen
Indicates the explanation or cause behind why an entity has a particular name.
-
B.
cityNamedAfter
Indicates that one city derives its name from or was named in honor of another entity, such as a person, place, or concept.
-
C.
cityName
Indicates that the associated value is the name of a city.
-
D.
cityDerivation
Indicates that one city is derived from, created out of, or established as a successor to another city.
-
E.
reasonForNickname
Indicates the explanation or cause behind why a particular nickname was given to an entity.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068e5187c8190a6be1b934e0f1b3a |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:42 p.m.