Triple
T25598860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grotta Gigante |
E641730
|
entity |
| Predicate | hasMainChamberWidth |
P51574
|
FINISHED |
| Object | about 76 m |
—
|
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 76 m | Statement: [Grotta Gigante, hasMainChamberWidth, about 76 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainChamberWidth Context triple: [Grotta Gigante, hasMainChamberWidth, about 76 m]
-
A.
hasChamberWidth
chosen
Indicates that an entity possesses a chamber whose width has a specified value or range.
-
B.
chamberSize
Indicates the relative capacity or dimensions of a chamber in relation to a specified reference or standard.
-
C.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
D.
chamberType
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
E.
maximumChamberHeight
Indicates the greatest vertical distance from the lowest to the highest point within a specified chamber.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 21, 2026, 4:30 p.m.