Triple
T32345854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cimetière de Picpus |
E826456
|
entity |
| Predicate | flagPresentAt |
P174173
|
FINISHED |
| Object | United States flag at Lafayette’s grave |
—
|
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: United States flag at Lafayette’s grave | Statement: [Cimetière de Picpus, flagPresentAt, United States flag at Lafayette’s grave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagPresentAt Context triple: [Cimetière de Picpus, flagPresentAt, United States flag at Lafayette’s grave]
-
A.
flagUsedIn
Indicates that a particular flag is employed or referenced within a given context, such as a program, configuration, or process.
-
B.
flagUsedBy
Indicates that a particular flag is officially used by a specified entity, such as a country, organization, or group.
-
C.
flagStatus
Indicates the current state or condition assigned to a flag, such as whether it is active, raised, set, or marked in a particular way.
-
D.
flagAtLaunch
Indicates that a specific flag or condition is set or active at the moment an action, process, or system is launched.
-
E.
fieldPresence
Indicates that a particular field or attribute exists or is present within a given context, object, or dataset.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be5165a88190b7ca9133e827087e |
completed | May 3, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:48 a.m.