Triple
T3944244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT East Campus |
E92106
|
entity |
| Predicate | hasNumberOfHalls |
P2490
|
FINISHED |
| Object | two parallel halls |
—
|
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: two parallel halls | Statement: [MIT East Campus, hasNumberOfHalls, two parallel halls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfHalls Context triple: [MIT East Campus, hasNumberOfHalls, two parallel halls]
-
A.
numberOfHalls
chosen
Indicates the quantity of halls associated with a given entity or location.
-
B.
hasNumberOfEntrances
Indicates the relationship that specifies how many entrances an entity possesses.
-
C.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
-
D.
hasMainHallType
Indicates the specific category or kind of main hall associated with an entity.
-
E.
numberOfCorridors
Indicates the total count of corridors associated with or contained within a given entity or structure.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.