Triple
T17101249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady in the Lake |
E414984
|
entity |
| Predicate | hasBodyDiscoveredIn |
P101213
|
FINISHED |
| Object | lake |
—
|
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: lake | Statement: [The Lady in the Lake, hasBodyDiscoveredIn, lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBodyDiscoveredIn Context triple: [The Lady in the Lake, hasBodyDiscoveredIn, lake]
-
A.
hasBodyDiscoveryLocation
chosen
Indicates the location where a body was found or discovered.
-
B.
discoveredOnBodyBy
Indicates that a body was discovered by a particular person or agent.
-
C.
hasDiscovered
Indicates that one entity has found, detected, or uncovered the existence, presence, or truth of another entity or phenomenon.
-
D.
bodyDiscoveredIncorrupt
Indicates that a body was found in an unusually preserved or undecayed state, contrary to normal expectations of decomposition.
-
E.
hasBodyOf
Indicates that one entity possesses, contains, or is composed of the physical body or main substance of 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc0182cc8190b8aa9c980f11ba57 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.