Triple
T34187523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King Jr. Boulevard |
E877001
|
entity |
| Predicate | existsInCityType |
P121869
|
FINISHED |
| Object | large cities |
—
|
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: large cities | Statement: [Martin Luther King Jr. Boulevard, existsInCityType, large cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: existsInCityType Context triple: [Martin Luther King Jr. Boulevard, existsInCityType, large cities]
-
A.
belongsToCityType
chosen
Indicates that one entity is classified under, or associated with, a particular type or category of city.
-
B.
isInCity
Indicates that one entity is located within the geographical boundaries of a specified city.
-
C.
isFirstOfTypeInCity
Indicates that an entity is the earliest or original instance of its particular type to exist or be established within a given city.
-
D.
isCityOf
Indicates that one entity is a city that belongs to, is located within, or is administratively part of another entity (such as a country, state, or region).
-
E.
endsInCity
Indicates that an entity (such as a route, trip, or movement) terminates or concludes within a specified city.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7100a7898819092ba06f35251fc7c |
completed | May 3, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.