Triple
T31504138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Imperial City |
E803769
|
entity |
| Predicate | peakNumber |
P165818
|
FINISHED |
| Object | around 80 to 90 cities |
—
|
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: around 80 to 90 cities | Statement: [Free Imperial City, peakNumber, around 80 to 90 cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakNumber Context triple: [Free Imperial City, peakNumber, around 80 to 90 cities]
-
A.
peakStatus
Indicates the condition or phase of something at its highest or most intense point in its progression or lifecycle.
-
B.
peakType
Indicates the specific classification or category of a peak based on its form, prominence, or other defining characteristics.
-
C.
peakRating
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
-
D.
hasNumberAtPeak
chosen
Indicates that an entity possesses a specific numerical value measured at its highest or peak point.
-
E.
peakNumberInAdk46
Indicates that the referenced entity has the highest (peak) numerical value within the context or dataset labeled "Adk46".
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a214a24481908d30547f6d36aabe |
completed | May 3, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:46 p.m.