Triple
T35279480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmolive Building (Chicago) |
E1018895
|
entity |
| Predicate | beaconNamedAfter |
P63
|
FINISHED |
| Object | Charles Lindbergh |
—
|
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: Charles Lindbergh | Statement: [Palmolive Building (Chicago), beaconNamedAfter, Charles Lindbergh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beaconNamedAfter Context triple: [Palmolive Building (Chicago), beaconNamedAfter, Charles Lindbergh]
-
A.
beaconName
Indicates that one entity serves as or has the name of a beacon associated with another entity.
-
B.
beaconType
Indicates the specific kind or category of beacon associated with or used by an entity.
-
C.
beaconMaterial
Indicates that a beacon structure is composed of, or constructed using, a specified material.
-
D.
trackNamedAfter
Indicates that a track (such as a song or musical piece) bears the name of, or is explicitly titled after, a particular entity.
-
E.
namedAfter
chosen
Indicates that one entity has been given its name in honor of, or derived from, another entity.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.