Triple
T38230725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas J. Rusk Middle School |
E1012280
|
entity |
| Predicate | hasNamesakeStateOfActivity |
P167618
|
FINISHED |
| Object | Texas |
—
|
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: Texas | Statement: [Thomas J. Rusk Middle School, hasNamesakeStateOfActivity, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamesakeStateOfActivity Context triple: [Thomas J. Rusk Middle School, hasNamesakeStateOfActivity, Texas]
-
A.
hasNamesakeActivity
Indicates that an entity is associated with an activity that shares its name or is named after it.
-
B.
stateOfActivity
Indicates the current condition, phase, or status that an activity is in at a given time.
-
C.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
D.
hasStateOf
Indicates that an entity possesses, exhibits, or is currently in a particular condition, status, or mode.
-
E.
namesakeState
chosen
Indicates that one state is named after, or shares its name with, another entity such as a person, place, or thing.
- 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_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
Created at: May 3, 2026, 4:30 p.m.