Triple
T5934329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STMicroelectronics |
E132006
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
ST25
ST25 is STMicroelectronics’ family of NFC and RFID tag and reader ICs designed for contactless identification and communication applications.
|
E556368
|
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: ST25 | Statement: [STMicroelectronics, brand, ST25]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ST25 Context triple: [STMicroelectronics, brand, ST25]
-
A.
S75
S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
-
B.
STC
STC is the commonly used abbreviation for RAF Strike Command, the former major operational command of the Royal Air Force responsible for the UK’s air combat forces.
-
C.
STC
STC is the acronym commonly used for Mexico City’s Sistema de Transporte Colectivo, the public agency that operates the city’s metro system.
-
D.
ST 2022
ST 2022 is a family of SMPTE standards that define the transport of professional audio and video over IP networks, including compressed and uncompressed media streams.
-
E.
N257
N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
- 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: ST25 Triple: [STMicroelectronics, brand, ST25]
Generated description
ST25 is STMicroelectronics’ family of NFC and RFID tag and reader ICs designed for contactless identification and communication applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ST25 Target entity description: ST25 is STMicroelectronics’ family of NFC and RFID tag and reader ICs designed for contactless identification and communication applications.
-
A.
S75
S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
-
B.
STC
STC is the commonly used abbreviation for RAF Strike Command, the former major operational command of the Royal Air Force responsible for the UK’s air combat forces.
-
C.
STC
STC is the acronym commonly used for Mexico City’s Sistema de Transporte Colectivo, the public agency that operates the city’s metro system.
-
D.
ST 2022
ST 2022 is a family of SMPTE standards that define the transport of professional audio and video over IP networks, including compressed and uncompressed media streams.
-
E.
N257
N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038a0c4e481908170d615330edb1a |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c069e450819096b268637ffcd219 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c46fabf081908484ba066c25187b |
completed | March 23, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c4f21528819093a36c07e2637446 |
completed | March 23, 2026, 4:43 a.m. |
Created at: March 22, 2026, 4 p.m.