Triple
T401463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FASER |
E9291
|
entity |
| Predicate | complements |
P162
|
FINISHED |
| Object | CMS |
E3747
|
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: CMS | Statement: [FASER, complements, CMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMS Context triple: [FASER, complements, CMS]
-
A.
CMS
chosen
CMS is a major general-purpose particle physics detector at CERN’s Large Hadron Collider, designed to investigate fundamental particles and forces, including the Higgs boson.
-
B.
MIT CMS/W
MIT CMS/W is an academic program at the Massachusetts Institute of Technology that focuses on the study and practice of media, communication, and writing across diverse platforms and disciplines.
-
C.
WordPress
WordPress is a widely used open-source content management system that enables users to create, manage, and publish websites and blogs through a user-friendly, web-based interface.
-
D.
Ning
Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
-
E.
SharePoint
SharePoint is a Microsoft web-based collaboration and document management platform used for creating intranet sites, managing content, and enabling team collaboration within organizations.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec9f77888190bcc2bc68d201ed35 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a410410c108190990d4d5ef2e7ff61 |
completed | March 1, 2026, 10:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.