Triple
T28478777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centros docentes militares del Ejército de Tierra de España |
E720633
|
entity |
| Predicate | incluye |
P1393
|
FINISHED |
| Object |
Escuela Militar de Paracaidismo del Ejército de Tierra
La Escuela Militar de Paracaidismo del Ejército de Tierra es el centro de formación especializado del Ejército de Tierra español dedicado a la instrucción y capacitación de personal en técnicas y operaciones de paracaidismo militar.
|
E1820117
|
NE FINISHED |
How this triple was built (2 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: Escuela Militar de Paracaidismo del Ejército de Tierra | Statement: [Centros docentes militares del Ejército de Tierra de España, incluye, Escuela Militar de Paracaidismo del Ejército de Tierra]
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: Escuela Militar de Paracaidismo del Ejército de Tierra Triple: [Centros docentes militares del Ejército de Tierra de España, incluye, Escuela Militar de Paracaidismo del Ejército de Tierra]
Generated description
La Escuela Militar de Paracaidismo del Ejército de Tierra es el centro de formación especializado del Ejército de Tierra español dedicado a la instrucción y capacitación de personal en técnicas y operaciones de paracaidismo militar.
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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64ee7eb088190a195cefc30aa4fff |
completed | May 2, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a16419eec308190be841ab3e3a1ba09 |
completed | May 27, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_6a1643c0d2d88190b17ee1b6699328ca |
completed | May 27, 2026, 1:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a164450234881908d5122d8d3be89db |
completed | May 27, 2026, 1:09 a.m. |
Created at: April 28, 2026, 2:54 a.m.