Triple
T36985159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belţi |
E914940
|
entity |
| Predicate | rankInSizeInMoldova |
P191845
|
FINISHED |
| Object | third-largest city |
—
|
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: third-largest city | Statement: [Belţi, rankInSizeInMoldova, third-largest city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInSizeInMoldova Context triple: [Belţi, rankInSizeInMoldova, third-largest city]
-
A.
stationingConsideredByMoldova
Indicates that the act of stationing (e.g., troops, equipment, or facilities) is regarded, evaluated, or treated in a particular way by Moldova.
-
B.
legalStatusClaimedByMoldova
Indicates that a legal status or claim over something is asserted or maintained by Moldova.
-
C.
rankInVarnaSystem
Indicates the relative social or ritual status an entity holds within a hierarchical varna (caste) classification system.
-
D.
populationRankInUkraine
Indicates the relative position of an entity in terms of population size compared to other entities within Ukraine.
-
E.
chartPositionRomania
Indicates the position something holds on a chart or ranking specifically within Romania.
- F. None of above. chosen
Provenance (4 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
| PDg | Predicate description generation | batch_69fcec5e560481909cd710b88897e833 |
completed | May 7, 2026, 7:47 p.m. |
Created at: May 3, 2026, 4:14 p.m.