Triple
T10495795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozaffar ad-Din Shah Qajar |
E247533
|
entity |
| Predicate | numberOfTripsToEurope |
P94465
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Mozaffar ad-Din Shah Qajar, numberOfTripsToEurope, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTripsToEurope Context triple: [Mozaffar ad-Din Shah Qajar, numberOfTripsToEurope, 3]
-
A.
oftenTravelsTo
Indicates that one entity frequently goes to or visits another location or entity.
-
B.
numberOfCountriesVisited
Indicates the total count of distinct countries that an entity has visited.
-
C.
visitedCountry
Indicates that an entity has traveled to and spent time in a particular country.
-
D.
arrivalInEurope
Indicates the event or state of something or someone reaching or entering a location within Europe.
-
E.
numberOfDailyRoundTrips
Indicates the total count of round-trip journeys performed per day in the described context.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098be488819083d614f528cd82fb |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe46a6448190b061bc3545835cad |
completed | April 7, 2026, 12:53 p.m. |
Created at: April 6, 2026, 12:24 p.m.