Triple
T6542390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xcel Energy |
E168321
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
XEL
XEL is the stock ticker symbol for Xcel Energy, a major U.S. electric and natural gas utility company serving customers across several Midwestern and Western states.
|
E605369
|
NE FINISHED |
How this triple was built (4 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: XEL | Statement: [Xcel Energy, tickerSymbol, XEL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XEL Context triple: [Xcel Energy, tickerSymbol, XEL]
-
A.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
B.
HXL
HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
-
C.
EXD
EXD is the three-letter National Rail station code for Exeter St Davids railway station in Exeter, England.
-
D.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
E.
XCD
XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: XEL Triple: [Xcel Energy, tickerSymbol, XEL]
Generated description
XEL is the stock ticker symbol for Xcel Energy, a major U.S. electric and natural gas utility company serving customers across several Midwestern and Western states.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XEL Target entity description: XEL is the stock ticker symbol for Xcel Energy, a major U.S. electric and natural gas utility company serving customers across several Midwestern and Western states.
-
A.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
B.
HXL
HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
-
C.
EXD
EXD is the three-letter National Rail station code for Exeter St Davids railway station in Exeter, England.
-
D.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
E.
XCD
XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
- F. None of above. chosen
Provenance (5 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add9036081908917ff27ceed1038 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d541f25081909a4b218fd38718c6 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d82753288190bb8cd18254feee2d |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d92bc2508190b0e1eaf8b46c958e |
completed | March 27, 2026, 7:23 p.m. |
Created at: March 27, 2026, 1:50 p.m.