Triple
T3268265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancy |
E68579
|
entity |
| Predicate | hasCountryCode |
P189
|
FINISHED |
| Object | CH |
E31681
|
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: CH | Statement: [Lancy, hasCountryCode, CH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CH Context triple: [Lancy, hasCountryCode, CH]
-
A.
CH
CH is the postcode area covering Chester and its surrounding region in northwest England.
-
B.
CH
CH is the standard abbreviation used by the United States Army to designate members of its Chaplain Corps.
-
C.
.ch
chosen
.ch is the country code top-level domain (ccTLD) for Switzerland, derived from the Latin name "Confoederatio Helvetica."
-
D.
CHA
CHA is the standard abbreviation used for the Chattanooga Lookouts, a Minor League Baseball team based in Chattanooga, Tennessee.
-
E.
CHA
The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcf9c6c819092f9c618b778b46d |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ef261ec819091c62620765e2cef |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.