Triple
T5934411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teleperformance |
E132008
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
TEP
TEP is the stock ticker symbol for Teleperformance, a global leader in outsourced customer experience management and business process outsourcing services.
|
E556373
|
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: TEP | Statement: [Teleperformance, tickerSymbol, TEP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEP Context triple: [Teleperformance, tickerSymbol, TEP]
-
A.
TPE
TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
-
B.
Te
Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
-
C.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
T&P
T&P is the common abbreviation for the historic Texas and Pacific Railway, a major railroad that operated across Texas and the southwestern United States.
- 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: TEP Triple: [Teleperformance, tickerSymbol, TEP]
Generated description
TEP is the stock ticker symbol for Teleperformance, a global leader in outsourced customer experience management and business process outsourcing services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TEP Target entity description: TEP is the stock ticker symbol for Teleperformance, a global leader in outsourced customer experience management and business process outsourcing services.
-
A.
TPE
TPE is the three-letter IOC and international sporting code used to represent Chinese Taipei (Taiwan) in global competitions and events.
-
B.
Te
Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
-
C.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
D.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
-
E.
T&P
T&P is the common abbreviation for the historic Texas and Pacific Railway, a major railroad that operated across Texas and the southwestern United States.
- 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.