Triple
T606283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonidas at Thermopylae |
E12000
|
entity |
| Predicate | describedAtURL |
P16206
|
FINISHED |
| Object | https://www.louvre.fr/en/explore/the-palace/leonidas-at-thermopylae |
—
|
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: https://www.louvre.fr/en/explore/the-palace/leonidas-at-thermopylae | Statement: [Leonidas at Thermopylae, describedAtURL, https://www.louvre.fr/en/explore/the-palace/leonidas-at-thermopylae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describedAtURL Context triple: [Leonidas at Thermopylae, describedAtURL, https://www.louvre.fr/en/explore/the-palace/leonidas-at-thermopylae]
-
A.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
B.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
C.
hasDescription
Indicates that an entity is associated with a textual description that explains or characterizes it.
-
D.
demonstratedAt
Indicates that an action, behavior, or capability was shown or exhibited at a particular event, location, or point in time.
-
E.
textAvailableAt
chosen
Indicates that a specific piece of text can be accessed or obtained at a given location, source, or resource.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.