Triple
T11718505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northgate Station |
E278563
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | ORCA |
E211950
|
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: ORCA | Statement: [Northgate Station, fareSystem, ORCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORCA Context triple: [Northgate Station, fareSystem, ORCA]
-
A.
ORCA
chosen
ORCA is a regional smart transit card system used for paying fares across multiple public transportation agencies in the Puget Sound region of Washington State.
-
B.
ORCA
ORCA is a widely used, versatile quantum chemistry software package known for its efficient and accurate implementations of electronic structure methods, including density functional theory.
-
C.
Orca
Orca is a 1977 horror-thriller film about a vengeful killer whale that targets the fisherman who killed its mate.
-
D.
Tokitae (orca)
Tokitae (also known as Lolita) was a captive female orca who lived for decades at the Miami Seaquarium and became a prominent symbol in debates over marine mammal captivity and welfare.
-
E.
Orcines
Orcines is a commune in central France’s Puy-de-Dôme department, known for its proximity to the Chaîne des Puys volcanic range.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c26e4c8190ae30d906b4fd4221 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83b9131c819085f7bcab902c3763 |
completed | April 27, 2026, 3:41 p.m. |
Created at: April 8, 2026, 9:40 p.m.