Triple
T3746914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indra Sistemas |
E81230
|
entity |
| Predicate | clientSector |
P2193
|
FINISHED |
| Object | defense and security |
—
|
LITERAL 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: defense and security | Statement: [Indra Sistemas, clientSector, defense and security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clientSector Context triple: [Indra Sistemas, clientSector, defense and security]
-
A.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
B.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
C.
sectorServed
chosen
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
-
D.
clientOf
Indicates that one entity receives services or conducts business from another entity in a client–provider relationship.
-
E.
industryCenter
Indicates that a location functions as a primary hub or focal point for industrial activity or production.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.