Triple
T7420807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | libwww |
E171239
|
entity |
| Predicate | supportsProtocol |
P203
|
FINISHED |
| Object | Gopher |
E229510
|
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: Gopher | Statement: [libwww, supportsProtocol, Gopher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gopher Context triple: [libwww, supportsProtocol, Gopher]
-
A.
Gopher
chosen
Gopher is an early, menu-driven Internet protocol used for distributing, searching, and retrieving documents before the widespread adoption of the World Wide Web.
-
B.
Gopher Cam
Gopher Cam is a specialized in-track camera system used in NASCAR broadcasts to provide low-angle, on-the-ground racing footage.
-
C.
Gecko
Gecko is Mozilla’s open-source web browser engine that powers the rendering and functionality of Firefox and several other applications.
-
D.
Weasel
Weasel is a sarcastic bartender, arms dealer, and reluctant ally to Deadpool in the Deadpool film series, providing comic relief and underworld connections.
-
E.
Glis
Glis was a former municipality in the canton of Valais, Switzerland, that later became part of the merged municipality of Brig-Glis.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef7fc808190a564ab4d9d97ab37 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.