Triple
T23597873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fondo Sur |
E582667
|
entity |
| Predicate | stadiumOrientation |
P152859
|
FINISHED |
| Object | south end of Estadio Vicente Calderón |
—
|
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: south end of Estadio Vicente Calderón | Statement: [Fondo Sur, stadiumOrientation, south end of Estadio Vicente Calderón]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stadiumOrientation Context triple: [Fondo Sur, stadiumOrientation, south end of Estadio Vicente Calderón]
-
A.
poleOrientation
Indicates the directional alignment or facing of a pole relative to a reference frame or coordinate system.
-
B.
styleOrientation
Indicates the general stylistic direction or aesthetic approach that characterizes how something is designed, presented, or expressed.
-
C.
seatingDirection
Indicates the orientation or facing direction in which an entity is seated relative to a reference point or object.
-
D.
orientationType
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
-
E.
valueOrientation
Indicates how an entity’s preferences, priorities, or attitudes are directed toward particular values or value systems.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b091992c819085f8aa6cb91cb76a |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:43 p.m.