Triple
T31206272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Group |
E795606
|
entity |
| Predicate | isPrimaryPedestrianAxisOf |
P133213
|
FINISHED |
| Object | MIT campus |
—
|
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: MIT campus | Statement: [Main Group, isPrimaryPedestrianAxisOf, MIT campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimaryPedestrianAxisOf Context triple: [Main Group, isPrimaryPedestrianAxisOf, MIT campus]
-
A.
isPedestrianNode
Indicates that the referenced node functions as a pedestrian-specific point in a network, such as a walkway, crossing, or footpath connection.
-
B.
hasPedestrianPriority
Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
-
C.
isPrimarySurfaceStreetIn
Indicates that a street serves as a main or primary surface-level roadway within a specified area or jurisdiction.
-
D.
isPedestrianGateway
chosen
Indicates that something serves as an access point or entrance specifically intended for use by pedestrians.
-
E.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 29, 2026, 9:09 p.m.