Triple
T3746912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indra Sistemas |
E81230
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Minsait
Minsait is a digital transformation and information technology consulting company that operates as the specialized IT and consulting arm of Indra Sistemas.
|
E384506
|
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: Minsait | Statement: [Indra Sistemas, hasSubsidiary, Minsait]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minsait Context triple: [Indra Sistemas, hasSubsidiary, Minsait]
-
A.
Minginish
Minginish is a rugged peninsula on the Isle of Skye in Scotland, known for its dramatic coastal scenery and proximity to the Cuillin mountains.
-
B.
Mineta
Mineta is a Japanese surname most prominently associated with Norman Mineta, a longtime U.S. politician and former Secretary of Transportation.
-
C.
Muanisolo
Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
-
D.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
E.
Maino
Maino is an Italian surname most notably associated with Sonia Gandhi, the former president of the Indian National Congress.
- 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: Minsait Triple: [Indra Sistemas, hasSubsidiary, Minsait]
Generated description
Minsait is a digital transformation and information technology consulting company that operates as the specialized IT and consulting arm of Indra Sistemas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minsait Target entity description: Minsait is a digital transformation and information technology consulting company that operates as the specialized IT and consulting arm of Indra Sistemas.
-
A.
Minginish
Minginish is a rugged peninsula on the Isle of Skye in Scotland, known for its dramatic coastal scenery and proximity to the Cuillin mountains.
-
B.
Mineta
Mineta is a Japanese surname most prominently associated with Norman Mineta, a longtime U.S. politician and former Secretary of Transportation.
-
C.
Muanisolo
Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
-
D.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
E.
Maino
Maino is an Italian surname most notably associated with Sonia Gandhi, the former president of the Indian National Congress.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb69887c8190a3f1188ec85727b0 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db2f5e9881908c10feafbb569f48 |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4df1cfd348190831cc472de055436 |
completed | March 14, 2026, 4:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4df7b2da881908aef158d79c2834c |
completed | March 14, 2026, 4:09 a.m. |
Created at: March 8, 2026, 3:35 p.m.