Triple
T38230724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas J. Rusk Middle School |
E1012280
|
entity |
| Predicate | hasNamesakeCountryOfActivity |
P99756
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Thomas J. Rusk Middle School, hasNamesakeCountryOfActivity, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamesakeCountryOfActivity Context triple: [Thomas J. Rusk Middle School, hasNamesakeCountryOfActivity, United States]
-
A.
placeOfActivityPresentCountry
Indicates the country in which an entity is currently active or carries out its main activities.
-
B.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
C.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
D.
hasPlaceNamesakeIn
Indicates that something is named after a particular place or location.
-
E.
hasPlaceNamesakeAbroad
chosen
Indicates that a place has a namesake located in a foreign country.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: May 3, 2026, 4:30 p.m.