Triple
T36122379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girls from Ames |
E1044778
|
entity |
| Predicate | placeOfOriginOfSubjects |
P3743
|
FINISHED |
| Object | Ames, Iowa |
—
|
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: Ames, Iowa | Statement: [The Girls from Ames, placeOfOriginOfSubjects, Ames, Iowa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfOriginOfSubjects Context triple: [The Girls from Ames, placeOfOriginOfSubjects, Ames, Iowa]
-
A.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
B.
placeOfOrigin
chosen
Indicates the location or source from which an entity originally comes or was created.
-
C.
ingredientOrigin
Indicates that an ingredient comes from, is sourced in, or originates from a particular place or source.
-
D.
causeOfOrigin
Indicates that one entity is the source or initiating cause from which another entity originates or comes into existence.
-
E.
countryOfOriginOfSourceMaterial
Indicates that one entity is the country from which the source material of another entity originates.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 3, 2026, 4:08 p.m.