Triple
T1041725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PHP |
E22482
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Twig (templating language) |
E96622
|
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: Twig (templating language) | Statement: [PHP, influenced, Twig (templating language)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twig (templating language) Context triple: [PHP, influenced, Twig (templating language)]
-
A.
Jinja2
chosen
Jinja2 is a popular Python templating engine used to generate dynamic HTML and other text-based formats, known for its Django-inspired syntax and integration with web frameworks like Flask.
-
B.
SpaceShipTwo
SpaceShipTwo is a suborbital spaceplane developed for Virgin Galactic’s commercial space tourism program, designed to carry passengers to the edge of space for brief periods of weightlessness.
-
C.
Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
-
D.
Elm
Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
-
E.
Svelte
Svelte is a modern JavaScript framework and compiler for building user interfaces that shifts much of the work to a build step, producing highly efficient, minimal runtime code.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82f6c14819080277443ea4722dd |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc768948190b1cda4eea93fe4b6 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:42 p.m.