Triple
T38126402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houghton Lake |
E952084
|
entity |
| Predicate | Tip Up Town USAHeldOn |
P81625
|
FINISHED |
| Object | Houghton Lake (lake) |
—
|
NE NERFINISHED |
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: Houghton Lake (lake) | Statement: [Houghton Lake, Tip Up Town USAHeldOn, Houghton Lake (lake)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Tip Up Town USAHeldOn Context triple: [Houghton Lake, Tip Up Town USAHeldOn, Houghton Lake (lake)]
-
A.
trialCity
Indicates the city in which a legal trial takes place.
-
B.
Game1City
Indicates that a game (or sporting event) takes place in, or is associated with, a particular city.
-
C.
upperDeckLanes
Indicates that the related entities are lanes located on the upper deck level of a multi-level structure (such as a roadway, bridge, or parking facility).
-
D.
isTown
Indicates that the subject entity is classified as a town.
-
E.
hostTown
chosen
Indicates that one entity is the town or municipality that hosts, contains, or serves as the location for the other entity.
- F. None of above.
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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.