Triple
T6843982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O’Connell Bridge |
E157844
|
entity |
| Predicate | hasStatueNearNorthEnd |
P15231
|
FINISHED |
| Object | Daniel O’Connell statue |
—
|
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: Daniel O’Connell statue | Statement: [O’Connell Bridge, hasStatueNearNorthEnd, Daniel O’Connell statue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatueNearNorthEnd Context triple: [O’Connell Bridge, hasStatueNearNorthEnd, Daniel O’Connell statue]
-
A.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
B.
positionOfStatue
Indicates the spatial location where a statue is situated or placed.
-
C.
locatedAtNorthernEndOf
chosen
Indicates that one entity is situated at or near the northernmost part or extremity of another entity.
-
D.
hasStatueNickname
Indicates that an entity (typically a statue) is known or referred to by a particular nickname.
-
E.
isDowntownLandmark
Indicates that a location is recognized as a notable or prominent landmark within a city’s downtown 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.