Triple
T13352876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument Square |
E318111
|
entity |
| Predicate | hasStreetAddressDescription |
P959
|
FINISHED |
| Object | intersection of Congress Street and Free Street |
—
|
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: intersection of Congress Street and Free Street | Statement: [Monument Square, hasStreetAddressDescription, intersection of Congress Street and Free Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetAddressDescription Context triple: [Monument Square, hasStreetAddressDescription, intersection of Congress Street and Free Street]
-
A.
streetAddress
Indicates the specific location of an entity in terms of its numbered building and street name within a postal address.
-
B.
hasStreet
chosen
Indicates that an entity is located on, associated with, or identified by a particular street.
-
C.
hasAddress
Indicates that an entity is associated with a specific address or location.
-
D.
locationAddressed
Indicates that a communication, message, or action is specifically directed to or intended for a particular location or address.
-
E.
hasStreetLevel
Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6fd8bc819086dddb6f376efa57 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:32 p.m.