Triple
T295001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutsk |
E6073
|
entity |
| Predicate | firstMentioned |
P3921
|
FINISHED |
| Object | 1085 |
—
|
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: 1085 | Statement: [Lutsk, firstMentioned, 1085]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMentioned Context triple: [Lutsk, firstMentioned, 1085]
-
A.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
B.
firstAnnouncedBy
Indicates that one entity is the original source or originator that publicly disclosed, reported, or made known another entity or item for the first time.
-
C.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
D.
firstClearlyAttestedIn
chosen
Indicates the earliest known point in time or source where something is clearly documented or evidenced.
-
E.
firstOfficialClaimBy
Indicates that an entity is the earliest or original official source to assert or make a particular claim.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e273f88190ac5355d1310376ed |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9368894819093eeae4347dfcc5a |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.