Triple
T11550213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels railway stations |
E273869
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Delta |
E288964
|
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: Delta | Statement: [Brussels railway stations, hasStation, Delta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delta Context triple: [Brussels railway stations, hasStation, Delta]
-
A.
Delta
Delta is a family of American expendable launch vehicles historically used to place satellites and other payloads into orbit.
-
B.
Delta
Delta is a small city in central Utah known historically for agriculture, nearby fossil sites, and its proximity to the former Topaz War Relocation Center.
-
C.
Delta
chosen
Delta is a station on the Brussels Metro system in Belgium, serving as a transit point for passengers within the city's rapid transit network.
-
D.
Delta
Delta is a type of organizational unit designation used by the United States Space Force for its operational space mission units.
-
E.
Delta
Delta is the codename used by fictional assassin David Webb, better known as Jason Bourne, in Robert Ludlum’s Bourne series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a83f1e88190aabf11a4c8a6c9e5 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8396ed081909bdf381db3dacd62 |
completed | April 21, 2026, 3 a.m. |
Created at: April 8, 2026, 9:37 p.m.