Triple
T25598862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grotta Gigante |
E641730
|
entity |
| Predicate | hasMainChamberVolume |
P180920
|
FINISHED |
| Object | about 365000 m³ |
—
|
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: about 365000 m³ | Statement: [Grotta Gigante, hasMainChamberVolume, about 365000 m³]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainChamberVolume Context triple: [Grotta Gigante, hasMainChamberVolume, about 365000 m³]
-
A.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
B.
chamberSize
Indicates the relative capacity or dimensions of a chamber in relation to a specified reference or standard.
-
C.
mainChamber
Indicates that something is the primary or central chamber or room within a larger structure or system.
-
D.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
E.
chamberSupportedBy
Indicates that a chamber is physically held up, carried, or structurally sustained by another object or structure.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 21, 2026, 4:30 p.m.