Triple
T5842202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TecDAX |
E129619
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
TDXP
TDXP is the stock ticker symbol for the TecDAX index, which tracks major German technology companies listed on the Frankfurt Stock Exchange.
|
E549682
|
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: TDXP | Statement: [TecDAX, tickerSymbol, TDXP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TDXP Context triple: [TecDAX, tickerSymbol, TDXP]
-
A.
TCDP
TCDP is a specialized committee within the IEEE Computer Society that focuses on advancing research, standards, and community activities in distributed computing and distributed systems.
-
B.
CXP
CXP is the FAA location identifier for Carson City Airport in Carson City, Nevada.
-
C.
TXK
TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
-
D.
TFX
TFX is a French television channel owned and operated by the TF1 Group, offering a mix of entertainment, series, and reality programming.
-
E.
TFX
TFX is an end-to-end production machine learning platform built on TensorFlow that supports scalable data processing, model training, validation, and deployment.
- 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: TDXP Triple: [TecDAX, tickerSymbol, TDXP]
Generated description
TDXP is the stock ticker symbol for the TecDAX index, which tracks major German technology companies listed on the Frankfurt Stock Exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TDXP Target entity description: TDXP is the stock ticker symbol for the TecDAX index, which tracks major German technology companies listed on the Frankfurt Stock Exchange.
-
A.
TCDP
TCDP is a specialized committee within the IEEE Computer Society that focuses on advancing research, standards, and community activities in distributed computing and distributed systems.
-
B.
CXP
CXP is the FAA location identifier for Carson City Airport in Carson City, Nevada.
-
C.
TXK
TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
-
D.
TFX
TFX is an end-to-end production machine learning platform built on TensorFlow that supports scalable data processing, model training, validation, and deployment.
-
E.
TFX
TFX is a French television channel owned and operated by the TF1 Group, offering a mix of entertainment, series, and reality programming.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d876fc819089818c731116af56 |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1a2506481908a3e638c1121bfd0 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a27765688190b02a1b0cd39a87fe |
completed | March 23, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2fd7ec081909033994e5556a6ae |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.