Triple
T31950403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swift Creek culture |
E815762
|
entity |
| Predicate | potteryTemper |
P173484
|
FINISHED |
| Object | sand-tempered |
—
|
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: sand-tempered | Statement: [Swift Creek culture, potteryTemper, sand-tempered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potteryTemper Context triple: [Swift Creek culture, potteryTemper, sand-tempered]
-
A.
potteryColor
Indicates the color attribute associated with a piece of pottery.
-
B.
firingTemperature
Indicates the temperature at which a material or object is heated during a firing process (such as in a kiln or furnace).
-
C.
hasTypeOfPottery
Indicates that an entity is associated with or characterized by a specific type or category of pottery.
-
D.
hasPotteryType
Indicates that an entity is associated with or characterized by a specific type or category of pottery.
-
E.
temperingPurpose
Indicates that one entity undergoes a tempering process specifically for the purpose or intended function defined by another entity or condition.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:07 a.m.