Triple
T37496329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piazza delle Conserve |
E931835
|
entity |
| Predicate | materialUsedInIcePits |
P1272
|
FINISHED |
| Object | brick |
—
|
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: brick | Statement: [Piazza delle Conserve, materialUsedInIcePits, brick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedInIcePits Context triple: [Piazza delle Conserve, materialUsedInIcePits, brick]
-
A.
tankMaterial
Indicates that a tank is made of, or primarily constructed from, a specified material.
-
B.
hasIcePads
Indicates that an entity is equipped with or contains ice pads, typically used for cooling or temperature regulation.
-
C.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
usedArtificialIce
Indicates that artificial ice was employed or utilized in the context of the described event or activity.
-
E.
iceStrengthened
Indicates that an entity has been made stronger, reinforced, or enhanced through the application or influence of ice.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.