Triple
T9894489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nubian Square |
E181534
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Nubian Station |
E828569
|
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: Nubian Station | Statement: [Nubian Square, hasLandmark, Nubian Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nubian Station Context triple: [Nubian Square, hasLandmark, Nubian Station]
-
A.
Nubian Station
chosen
Nubian Station is a major bus and transit hub in Boston’s Roxbury neighborhood, serving as a key connection point for local and regional public transportation.
-
B.
Othello Station
Othello Station is a light rail transit stop in Seattle’s Rainier Valley neighborhood, serving the Link light rail system.
-
C.
Way Station
Way Station is a classic science fiction novel by Clifford D. Simak about a reclusive Civil War veteran who secretly operates an intergalactic transit hub on Earth.
-
D.
Lower Station
Lower Station is the riverside terminal of Pittsburgh’s historic Duquesne Incline funicular, serving as the boarding point near the base of Mount Washington.
-
E.
Moss Station
Moss Station is a railway station serving the town of Moss in Viken county, Norway, as part of the country’s intercity and regional rail network.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4a89e148190901753e67483d72c |
completed | April 2, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d888b408190a68ff55d63558478 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:39 p.m.