Triple
T36269821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitad del Mundo |
E892638
|
entity |
| Predicate | hasMonumentMaterial |
P112113
|
FINISHED |
| Object | stone |
—
|
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: stone | Statement: [Mitad del Mundo, hasMonumentMaterial, stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonumentMaterial Context triple: [Mitad del Mundo, hasMonumentMaterial, stone]
-
A.
hasArchitecturalMaterial
chosen
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
B.
hasMonumentFunction
Indicates that something serves the role or purpose of a monument, such as commemorating, honoring, or symbolizing a person, event, or idea.
-
C.
hasSculptureMaterial
Indicates that a sculpture is made from, or incorporates, a specified material.
-
D.
hasMonumentAt
Indicates that a monument is located at or associated with a specific place or site.
-
E.
statueMaterialDetail
Indicates that a statue is made of, or incorporates, a specific material with detailed characterization (e.g., type, composition, or quality).
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.