Triple
T15392250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uptown Theater (Washington, D.C.) |
E368074
|
entity |
| Predicate | hasMarqueeType |
P19074
|
FINISHED |
| Object | neon-lit marquee |
—
|
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: neon-lit marquee | Statement: [Uptown Theater (Washington, D.C.), hasMarqueeType, neon-lit marquee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarqueeType Context triple: [Uptown Theater (Washington, D.C.), hasMarqueeType, neon-lit marquee]
-
A.
hasMarquee
chosen
Indicates that one entity features or is equipped with a marquee associated with another entity.
-
B.
hasMastheadFeature
Indicates that one entity is highlighted or featured in the masthead section of another entity (such as a page, site, or publication).
-
C.
hasCarriage
Indicates that one entity possesses, is equipped with, or is accompanied by a carriage associated with it.
-
D.
hasScroll
Indicates that an entity possesses, contains, or is associated with a scroll.
-
E.
hasMarker
Indicates that one entity possesses, is associated with, or is identified by a specific marker.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.