Triple
T37044046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King Jr. Way South |
E916857
|
entity |
| Predicate | isNamedStreetIn |
P106509
|
FINISHED |
| Object | Seattle street grid |
—
|
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: Seattle street grid | Statement: [Martin Luther King Jr. Way South, isNamedStreetIn, Seattle street grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedStreetIn Context triple: [Martin Luther King Jr. Way South, isNamedStreetIn, Seattle street grid]
-
A.
isNamedRoadIn
chosen
Indicates that a specific named road is located within or belongs to a particular geographic area or region.
-
B.
isCommonStreetNameIn
Indicates that a given name is frequently used as a street name within a specified geographic area or jurisdiction.
-
C.
isThoroughfareFor
Indicates that something serves as a route or passageway used for travel or transportation between places.
-
D.
isNumberedAvenueOf
Indicates that one entity is an avenue identified by a numerical designation that belongs to or is part of the other entity (such as a city or road network).
-
E.
isNumberedStreet
Indicates that a street is designated primarily by a number (e.g., "1st Street," "42nd Avenue") rather than by a proper name.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.