Triple
T2114312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XMPP |
E42571
|
entity |
| Predicate | formerlyKnownAs |
P65
|
FINISHED |
| Object | Jabber |
E42571
|
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: Jabber | Statement: [XMPP, formerlyKnownAs, Jabber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jabber Context triple: [XMPP, formerlyKnownAs, Jabber]
-
A.
XMPP
chosen
XMPP (Extensible Messaging and Presence Protocol) is an open, XML-based communication protocol primarily used for instant messaging, presence information, and real-time data exchange over the internet.
-
B.
ICQ
ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
-
C.
AOL Instant Messenger
AOL Instant Messenger was a pioneering late-1990s and early-2000s instant messaging service that popularized online chat and status-based communication for mainstream internet users.
-
D.
Apple iChat
Apple iChat is Apple’s former instant messaging and video chat application for macOS that integrated AIM, Jabber, and later FaceTime-style communication features.
-
E.
Chatterbug
Chatterbug is an online language-learning platform that offers live tutoring and interactive exercises to help users practice and improve foreign language skills.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb05b51c81908a78c816f492c45c |
completed | March 7, 2026, 5:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3076afec819091183e328cff58c8 |
completed | March 9, 2026, 2:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.