Triple
T22813397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PostCSS |
E565039
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Parcel |
—
|
NE NERFINISHED |
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: Parcel | Statement: [PostCSS, integratesWith, Parcel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parcel Context triple: [PostCSS, integratesWith, Parcel]
-
A.
Parcel
chosen
Parcel is a zero-configuration web application bundler known for its fast performance, automatic code splitting, and built-in support for modern JavaScript tooling.
-
B.
Parcel
"Parcel" is a popular hip-hop song by Nigerian rapper Phyno, recognized for its catchy delivery and contribution to his rise in the African music scene.
-
C.
Parcel Post
Parcel Post is Australia Post’s standard domestic parcel delivery service for sending packages across the country.
-
D.
Postal
Postal is a darkly comedic action film based on the controversial video game series, known for its outrageous satire and over-the-top violence.
-
E.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d61c6f081908d3911710b3aff51 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.