Triple
T7789765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glazebrook |
E187346
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chat Moss |
E34417
|
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: Chat Moss | Statement: [Glazebrook, near, Chat Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chat Moss Context triple: [Glazebrook, near, Chat Moss]
-
A.
Chat Moss
chosen
Chat Moss is a large peat bog in Greater Manchester, England, historically significant for its challenging terrain that had to be engineered across during the construction of early railway lines.
-
B.
Meta AI assistant
Meta AI assistant is an artificial intelligence–powered virtual assistant created by Meta to help users with tasks like answering questions, generating content, and interacting across Meta’s platforms.
-
C.
Libera Chat
Libera Chat is a prominent free and open-source–focused IRC network that hosts real-time discussion channels for numerous software projects and online communities.
-
D.
MOSIF
MOSIF is an alternative name associated with BepiColombo, the joint ESA–JAXA mission to study the planet Mercury.
-
E.
Grok
Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf62c8568819090c058b0c55b7865 |
completed | March 30, 2026, 10:16 p.m. |
Created at: March 30, 2026, 4:25 p.m.