Triple
T14601329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catacombs of Paris |
E342710
|
entity |
| Predicate | numberOfStepsUp |
P1275
|
FINISHED |
| Object | about 83 |
—
|
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 83 | Statement: [Catacombs of Paris, numberOfStepsUp, about 83]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStepsUp Context triple: [Catacombs of Paris, numberOfStepsUp, about 83]
-
A.
numberOfStairs
chosen
Indicates the quantity of stairs associated with or present in a given context or structure.
-
B.
numberOfStepsToSummit
Indicates the total count of steps required to reach the summit from a specified starting point.
-
C.
numberOfStepsSymbolism
Indicates the symbolic or thematic meaning associated with a specific number of steps in a sequence, process, or structure.
-
D.
numberOfStaircases
Indicates the quantity of distinct staircases associated with or present in a given entity or location.
-
E.
stepCount
Indicates the number of discrete steps taken or required in a process, sequence, or movement.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.