Triple
T31986050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expedition 29 |
E816723
|
entity |
| Predicate | countryOperatingStation |
P201708
|
FINISHED |
| Object | multinational |
—
|
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: multinational | Statement: [Expedition 29, countryOperatingStation, multinational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOperatingStation Context triple: [Expedition 29, countryOperatingStation, multinational]
-
A.
operatedStation
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
B.
regionServedByStation
Indicates that a particular geographic region is within the service coverage area of a given station.
-
C.
ownedStation
Indicates that one entity possesses ownership or control over a particular station.
-
D.
operatedStationsIn
Indicates that an entity managed or ran the operations of one or more stations within a specified area or system.
-
E.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
| PDg | Predicate description generation | batch_6a0017dc2cd48190a89c3e9c71708519 |
completed | May 10, 2026, 5:30 a.m. |
Created at: May 1, 2026, 12:12 a.m.