Triple
T38130203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican Federal Highway |
E952197
|
entity |
| Predicate | typicalSignShape |
P137300
|
FINISHED |
| Object | shield |
—
|
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: shield | Statement: [Mexican Federal Highway, typicalSignShape, shield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSignShape Context triple: [Mexican Federal Highway, typicalSignShape, shield]
-
A.
significantlyShapes
Indicates that one entity has a strong, influential impact on determining or altering the nature, outcome, or development of another entity.
-
B.
shapeType
Indicates the specific geometric form or category that characterizes an entity’s shape.
-
C.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
-
D.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
-
E.
hasRoadSignShape
chosen
Indicates that one entity possesses or exhibits the geometric shape characteristic of a particular road sign.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.