Triple
T3862494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EIT Manufacturing |
E90170
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | EIT KICs |
E84923
|
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: EIT KICs | Statement: [EIT Manufacturing, partOf, EIT KICs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EIT KICs Context triple: [EIT Manufacturing, partOf, EIT KICs]
-
A.
KRIC
KRIC is the ICAO airport code for Richmond International Airport, a major commercial airport serving the Richmond, Virginia area.
-
B.
EKiR
EKiR is the Evangelical Church in the Rhineland, a regional Protestant church body within the Evangelical Church in Germany (EKD).
-
C.
EIT
chosen
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
-
D.
EIS
EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
-
E.
EIS
EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec2417648190ad010189d304d119 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5123802248190b03a887d3a4e762f |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:19 p.m.