Triple
T1993151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westchester Community College |
E43295
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Valhalla |
E191969
|
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: Valhalla | Statement: [Westchester Community College, city, Valhalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valhalla Context triple: [Westchester Community College, city, Valhalla]
-
A.
Valhalla
Valhalla is a large, Viking-themed indoor water ride known for its dramatic special effects and soaking drops at Blackpool Pleasure Beach in England.
-
B.
Valhalla
chosen
Valhalla is a hamlet in the town of Mount Pleasant in Westchester County, New York, known for its suburban character and proximity to major reservoirs and parklands.
-
C.
Gjallarhorn
Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
-
D.
Midgard
Midgard is the human-inhabited world in Norse mythology, situated between the realms of gods and giants and encircled by a vast ocean.
-
E.
Hammerfest
Hammerfest is a coastal town in northern Norway known as one of the world’s northernmost settlements and a historic Arctic fishing and trading hub.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86275c88190bed869e9d3cf7ed5 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033a39d48190b6389e22de0d4418 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.