Triple
T414927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulino di Mezzegra |
E9570
|
entity |
| Predicate | hasRelief |
P14580
|
FINISHED |
| Object | hilly terrain |
—
|
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: hilly terrain | Statement: [Giulino di Mezzegra, hasRelief, hilly terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelief Context triple: [Giulino di Mezzegra, hasRelief, hilly terrain]
-
A.
hasReliefOf
Indicates that one entity features, bears, or is adorned with a sculpted or carved relief representation of another entity.
-
B.
relievedBy
Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by another entity.
-
C.
hasReliefEffortFrom
Indicates that a party receives assistance or support through a relief effort provided by another party.
-
D.
relievedOnDate
Indicates that an entity was formally released, discharged, or relieved from a role, duty, or obligation on a specific date.
-
E.
hadFort
Indicates that an entity possessed, controlled, or contained a fort at some time.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edcff4688190809d83d112ff25a5 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2eeb8545c8190a2b8517e7ed5b92e |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.