Triple
T27818769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confederate Gulch, Montana |
E702753
|
entity |
| Predicate | boomtownCharacteristic |
P163384
|
FINISHED |
| Object | rapid population growth |
—
|
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: rapid population growth | Statement: [Confederate Gulch, Montana, boomtownCharacteristic, rapid population growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boomtownCharacteristic Context triple: [Confederate Gulch, Montana, boomtownCharacteristic, rapid population growth]
-
A.
popularTown
Indicates that a town is widely liked, frequently visited, or well-regarded by many people.
-
B.
typicalSettlement
Indicates that the subject is a common or characteristic type of settlement typically found in the context of the object.
-
C.
fictionalTownFeatured
Indicates that a fictional town is prominently depicted or serves as a key setting within a work or medium.
-
D.
hostTown
Indicates that one entity is the town or municipality that hosts, contains, or serves as the location for the other entity.
-
E.
bubbleCity
Indicates a relationship where a city is characterized as being enclosed, isolated, or self-contained like a bubble, often separated or protected from its surrounding environment.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6386cb0a08190aa7300c319d83884 |
completed | May 2, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:47 p.m.