Triple
T1959315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument to Christopher Columbus (former location) |
E42343
|
entity |
| Predicate | locationStatus |
P34406
|
FINISHED |
| Object | former location |
—
|
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: former location | Statement: [Monument to Christopher Columbus (former location), locationStatus, former location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationStatus Context triple: [Monument to Christopher Columbus (former location), locationStatus, former location]
-
A.
residencyStatus
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
B.
positionEstablishedIn
Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
-
C.
residencyLocation
Indicates the place where an entity lives or maintains its primary residence.
-
D.
locatedOff
Indicates that one entity is situated away from, but in the vicinity of, another entity or reference point, rather than directly on or within it.
-
E.
presentDayLocationCorrespondsTo
Indicates that the current, real-world location of an entity matches or aligns with a specified reference location.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb6893eb881908923f0168374596a |
completed | March 7, 2026, 5:24 a.m. |
Created at: March 4, 2026, 7:36 p.m.