Triple
T35781979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallograeci |
E1034461
|
entity |
| Predicate | regionBecame |
P73969
|
FINISHED |
| Object | Roman province of Galatia |
—
|
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: Roman province of Galatia | Statement: [Gallograeci, regionBecame, Roman province of Galatia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionBecame Context triple: [Gallograeci, regionBecame, Roman province of Galatia]
-
A.
realmBecame
chosen
Indicates that one realm transformed into, or came to be recognized as, another realm at a particular point in time.
-
B.
regionBehavior
Indicates how an entity acts, functions, or changes within a specific region or spatial area.
-
C.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
D.
emergedInRegion
Indicates that something first appeared, originated, or came into existence within a specified geographic region.
-
E.
regionDiscoveredIn
Indicates the geographic or administrative region where something was first discovered or found.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffef812da48190b875a7376b24f92d |
completed | May 10, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69ffedecd580819097851b1473fdd6ed |
completed | May 10, 2026, 2:31 a.m. |
Created at: May 3, 2026, 4:06 p.m.