Triple
T20997420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tulse Luper Suitcases |
E517185
|
entity |
| Predicate | numberOfSuitcases |
P19248
|
FINISHED |
| Object | 92 |
—
|
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: 92 | Statement: [The Tulse Luper Suitcases, numberOfSuitcases, 92]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSuitcases Context triple: [The Tulse Luper Suitcases, numberOfSuitcases, 92]
-
A.
hasLuggage
Indicates that an entity is carrying, possessing, or associated with one or more pieces of luggage.
-
B.
numberOfBoxes
Indicates the quantity or count of boxes associated with a given entity or context.
-
C.
hasOnboardLuggageSpace
Indicates that an entity provides or includes dedicated space for carrying luggage on board.
-
D.
numberOfUnits
chosen
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
E.
numberOfHijackers
Indicates the quantity of individuals who carried out or attempted to carry out a hijacking in the described event or context.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc22ca6081908bf054ddcfea9e19 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:51 p.m.