Triple
T25966562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT MacGregor House |
E645686
|
entity |
| Predicate | hasPrimaryResidents |
P21135
|
FINISHED |
| Object | first-year students |
—
|
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: first-year students | Statement: [MIT MacGregor House, hasPrimaryResidents, first-year students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryResidents Context triple: [MIT MacGregor House, hasPrimaryResidents, first-year students]
-
A.
hasPrimaryOccupants
chosen
Indicates that certain entities are the main or principal occupants of another entity (such as a space, structure, or location).
-
B.
hasNonHumanResident
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
-
C.
hasResidentPopulation
Indicates that a place or administrative area has a population of people who live there permanently or for an extended period.
-
D.
intendedResidents
Indicates the people or entities for whom a place, dwelling, or facility is designed or meant to be occupied by.
-
E.
permanentResidents
Indicates that one entity is a long-term, officially recognized resident of another entity (such as a place, institution, or jurisdiction).
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 22, 2026, 8:48 a.m.