Triple
T34238494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rub' al Khali crossing 1930 |
E878396
|
entity |
| Predicate | hasDepartureCountry |
P67180
|
FINISHED |
| Object | Oman |
—
|
NE NERFINISHED |
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: Oman | Statement: [Rub' al Khali crossing 1930, hasDepartureCountry, Oman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepartureCountry Context triple: [Rub' al Khali crossing 1930, hasDepartureCountry, Oman]
-
A.
associatedWithDepartureCountry
chosen
Indicates that there is a relationship linking something (such as a person, object, or event) to the country from which a departure takes place.
-
B.
enteredCountryVia
Indicates that an entity came into a country using a specific entry point, route, or method.
-
C.
enteredCountry
Indicates that an entity has moved into or crossed the border to be physically present within a specified country.
-
D.
hasMainPortOfDeparture
Indicates that an entity uses a specified port as its primary location for beginning journeys or departures.
-
E.
reentryCountry
Indicates the country into which an entity returns or reenters after being abroad or outside its territory.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: May 1, 2026, 1:56 a.m.