Triple
T5895138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sails.js |
E131082
|
entity |
| Predicate | supportsViewEngine |
P9412
|
FINISHED |
| Object | EJS |
E183390
|
NE 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: EJS | Statement: [Sails.js, supportsViewEngine, EJS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EJS Context triple: [Sails.js, supportsViewEngine, EJS]
-
A.
EJS
chosen
EJS (Embedded JavaScript) is a simple templating language that lets you generate HTML markup with plain JavaScript code.
-
B.
JSP
JSP is the commonly used abbreviation for the Japan Socialist Party, a former major left-wing political party in Japan.
-
C.
Jakarta Expression Language
Jakarta Expression Language is a Java-based expression language used in Jakarta EE to simplify access to application data and logic within web and enterprise components.
-
D.
JES3
JES3 is a mainframe job entry subsystem for IBM z/OS that manages and controls the scheduling, execution, and output of batch jobs across single or multiple systems.
-
E.
JSL
JSL is the primary sign language used by the Deaf community in Jamaica, with its own distinct grammar and vocabulary.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f3364c81909353f62ca483f24f |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b1558fa48190a6ecde69c1477863 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.