Triple
T32395902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taurus rocket |
E827805
|
entity |
| Predicate | firstLaunchCountry |
P59622
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Taurus rocket, firstLaunchCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLaunchCountry Context triple: [Taurus rocket, firstLaunchCountry, United States]
-
A.
launchedInCountry
Indicates that an entity (such as a product, service, or mission) was officially initiated, introduced, or started within a specified country.
-
B.
firstForCountry
chosen
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
-
C.
countryOfFirstMarketing
Indicates the country where a product was first introduced or made available on the market.
-
D.
wasFirstPerformedInCountry
Indicates that an action, event, or work was first performed within the borders of a specified country.
-
E.
countryOfFirstRelease
Indicates the country in which a work (such as a film, game, or product) was first officially released.
- F. None of above.
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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34665e47f081909e93c04b75d7b7ea |
completed | June 18, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:52 a.m.