Triple
T31736916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graffiti House |
E810023
|
entity |
| Predicate | hasGraffitiBy |
P179256
|
FINISHED |
| Object | Union soldiers |
—
|
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: Union soldiers | Statement: [Graffiti House, hasGraffitiBy, Union soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraffitiBy Context triple: [Graffiti House, hasGraffitiBy, Union soldiers]
-
A.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
-
B.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
-
C.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
D.
GraffitiHouseFunction
Indicates a relationship where a house serves as a site, venue, or functional setting for graffiti-related activities or purposes.
-
E.
hasPublicArtwork
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
- F. None of above. chosen
Provenance (4 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 30, 2026, 11:23 p.m.