Triple
T30313092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Sampson (DD-63) |
E770976
|
entity |
| Predicate | locationLaidDown |
P10133
|
FINISHED |
| Object | Quincy, Massachusetts |
—
|
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: Quincy, Massachusetts | Statement: [USS Sampson (DD-63), locationLaidDown, Quincy, Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationLaidDown Context triple: [USS Sampson (DD-63), locationLaidDown, Quincy, Massachusetts]
-
A.
laidDownPlace
chosen
Indicates the location where an entity was laid down or placed.
-
B.
laidDown
Indicates that an entity places or sets another entity down into a resting or horizontal position.
-
C.
bodyLyingInStateLocation
Indicates that a body is lying or situated within a specified state-level geographic location.
-
D.
bedLocation
Indicates the spatial position or placement of a bed relative to its surrounding environment or reference objects.
-
E.
laidDownBy
Indicates that something was established, created, or set as a rule, principle, or foundation by a particular agent.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00b34364448190b8c9948d5a24d845 |
completed | May 10, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_6a00b2e4f13c819081bac7d763c414ad |
completed | May 10, 2026, 4:31 p.m. |
Created at: April 29, 2026, 7:51 p.m.