Triple
T29604879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GAZ |
E754550
|
entity |
| Predicate | cityNamedAfterAtFoundation |
P26180
|
FINISHED |
| Object | Gorky |
—
|
NE NERFINISHED |
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: Gorky | Statement: [GAZ, cityNamedAfterAtFoundation, Gorky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityNamedAfterAtFoundation Context triple: [GAZ, cityNamedAfterAtFoundation, Gorky]
-
A.
cityNamedAfter
chosen
Indicates that one city derives its name from or was named in honor of another entity, such as a person, place, or concept.
-
B.
majorCityFounded
Indicates that one entity is a major city and the other is the date or event of its founding.
-
C.
cityFounded
Indicates that a particular city was established or came into existence at a specific time or by a specific founding event or agent.
-
D.
foundedCityInHonorOf
Indicates that a city was established and named specifically to honor a particular person, group, or entity.
-
E.
cityFoundedOn
Indicates that a city was established or officially founded on a specific date or point in time.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66de6d5b48190b51eebff395e2ed7 |
completed | May 2, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:24 p.m.