Triple
T12186476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There and Back Again |
E290346
|
entity |
| Predicate | associatedLocation |
P37
|
FINISHED |
| Object | Lake-town |
E218717
|
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: Lake-town | Statement: [There and Back Again, associatedLocation, Lake-town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake-town Context triple: [There and Back Again, associatedLocation, Lake-town]
-
A.
Lake-town
chosen
Lake-town is a wooden settlement built on the Long Lake in J.R.R. Tolkien’s Middle-earth, known for its role in The Hobbit as the nearby human town affected by the dragon Smaug.
-
B.
Shadow Lake
Shadow Lake is a scenic alpine lake in California’s Sierra Nevada, known for its clear waters, granite peaks, and popularity with backcountry hikers and photographers.
-
C.
Crystal Pond
Crystal Pond is a small, likely clear-water pond that serves as the namesake for the nearby Crystal Pond Brook.
-
D.
The Lake
The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
-
E.
The Lake
The Lake is a picturesque man-made body of water in New York City's Central Park, popular for boating, scenic views, and surrounding walking paths.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d916012c2c819085824332ad60059e |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6b0a84c8190ae593e368c13b5a5 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.