Triple
T791951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erechtheion |
E16932
|
entity |
| Predicate | elevationRelativeToParthenon |
P221
|
FINISHED |
| Object | north of the Parthenon |
—
|
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: north of the Parthenon | Statement: [Erechtheion, elevationRelativeToParthenon, north of the Parthenon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRelativeToParthenon Context triple: [Erechtheion, elevationRelativeToParthenon, north of the Parthenon]
-
A.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
B.
elevation
chosen
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
C.
pantheon
Indicates a relationship where a group of deities collectively belong to or are recognized within the same religious or mythological system.
-
D.
elevationAtBase
Indicates the height or altitude measured at the base or lowest point of an object or feature relative to a reference level.
-
E.
levelOnPyramid
Indicates the relative vertical tier or layer that an entity occupies within a pyramid structure.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a798c7608190b9c79c52a1fe0859 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.