Triple
T29866921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STEP |
E758484
|
entity |
| Predicate | dataModelLanguage |
P167686
|
FINISHED |
| Object | EXPRESS |
—
|
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: EXPRESS | Statement: [STEP, dataModelLanguage, EXPRESS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataModelLanguage Context triple: [STEP, dataModelLanguage, EXPRESS]
-
A.
derivationLanguage
Indicates the language from which something (such as a word, term, or expression) is derived.
-
B.
languageOfRecords
Indicates the language in which the records are written or maintained.
-
C.
hasLinguisticDataType
Indicates that something is associated with or characterized by a specific type or category of linguistic data.
-
D.
languageOfField
Indicates that a particular language is used as the primary or relevant language within a specified field, domain, or area of activity.
-
E.
languageOfAnnotations
Indicates the language in which the annotations associated with an entity are expressed.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6768a6b348190a88b3aa787249cb3 |
completed | May 2, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66bd123108190b451eb6e23842adb |
completed | May 2, 2026, 9:25 p.m. |
Created at: April 29, 2026, 5:52 p.m.