Triple
T26958309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedford Springs Hotel |
E678967
|
entity |
| Predicate | hasNumberOfMineralSprings |
P180604
|
FINISHED |
| Object | 8 |
—
|
LITERAL 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: 8 | Statement: [Bedford Springs Hotel, hasNumberOfMineralSprings, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMineralSprings Context triple: [Bedford Springs Hotel, hasNumberOfMineralSprings, 8]
-
A.
hasMineralSprings
Indicates that a place or entity possesses or is characterized by the presence of mineral springs.
-
B.
hasNumberOfHotSprings
Indicates the quantity of hot springs associated with a given entity.
-
C.
hasMineralSpringsType
Indicates that an entity is associated with or characterized by a specific type or category of mineral springs.
-
D.
hasHotSpring
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
E.
hasMineralSpringsTemperatureRange
Indicates the range of temperatures characteristic of the mineral springs associated with an entity.
- F. None of above. chosen
Provenance (4 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 27, 2026, 6:29 a.m.