Triple
T19510982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La frontera de cristal |
E488149
|
entity |
| Predicate | hasCentralCharacterType |
P97041
|
FINISHED |
| Object | migrant worker |
—
|
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: migrant worker | Statement: [La frontera de cristal, hasCentralCharacterType, migrant worker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralCharacterType Context triple: [La frontera de cristal, hasCentralCharacterType, migrant worker]
-
A.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
B.
hasCenterType
Indicates that something is characterized by or assigned a specific type or category of center.
-
C.
hasTypicalCharacterType
Indicates that an entity is commonly associated with or exemplified by a particular type of character or persona.
-
D.
hasPrimaryCharacter
chosen
Indicates that an entity features another entity as its main or central character.
-
E.
hasCharacters
Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63516572c8190a8719c51fd3f7147 |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.