Triple
T35279479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmolive Building (Chicago) |
E1018895
|
entity |
| Predicate | beaconName |
P182679
|
FINISHED |
| Object | Lindbergh Beacon |
—
|
NE NERFINISHED |
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: Lindbergh Beacon | Statement: [Palmolive Building (Chicago), beaconName, Lindbergh Beacon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beaconName Context triple: [Palmolive Building (Chicago), beaconName, Lindbergh Beacon]
-
A.
beaconType
Indicates the specific kind or category of beacon associated with or used by an entity.
-
B.
beaconMaterial
Indicates that a beacon structure is composed of, or constructed using, a specified material.
-
C.
hasBeaconCount
Indicates the number of beacons associated with or assigned to a given entity.
-
D.
beamName
Indicates that an entity has or is associated with a specific beam identifier or label.
-
E.
beaconHeight
Indicates the vertical size or elevation of a beacon, typically measured from its base to its top.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.