Triple
T35385763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Shaibel |
E1022787
|
entity |
| Predicate | teachesInLocation |
P170596
|
FINISHED |
| Object | basement of Methuen Home for Girls |
—
|
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: basement of Methuen Home for Girls | Statement: [Mr. Shaibel, teachesInLocation, basement of Methuen Home for Girls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachesInLocation Context triple: [Mr. Shaibel, teachesInLocation, basement of Methuen Home for Girls]
-
A.
taughtInCity
Indicates that a teaching activity or educational instruction took place within a specific city.
-
B.
servesAsTeachingSiteFor
Indicates that one entity functions as a location or institution where teaching, training, or educational activities are conducted for another entity.
-
C.
alsoTeachesIn
chosen
Indicates that an individual who teaches in one context or institution additionally teaches in another context or institution.
-
D.
areTaughtIn
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
-
E.
memberInstitutionLocation
Indicates that a member institution is located in, or associated with, a specific geographic place or address.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:03 p.m.