Triple
T23296847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Retamas |
E590194
|
entity |
| Predicate | ownerAbbreviation |
P45635
|
FINISHED |
| Object | ADIF |
—
|
NE NERFINISHED |
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: ADIF | Statement: [Las Retamas, ownerAbbreviation, ADIF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADIF Context triple: [Las Retamas, ownerAbbreviation, ADIF]
-
A.
ADIF
chosen
ADIF is Spain’s state-owned railway infrastructure manager, responsible for the construction, maintenance, and operation of most of the country’s rail network.
-
B.
ADIF
ADIF (Audio Data Interchange Format) is a header-based file format used to store and transmit Advanced Audio Coding (AAC) audio data efficiently in a single, self-contained block.
-
C.
AFDL
AFDL is a former Congolese rebel coalition that played a central role in overthrowing President Mobutu Sese Seko and triggering the First Congo War in the mid-1990s.
-
D.
ADFdi
ADFdi is an Oracle ADF feature that lets users interact with enterprise applications directly from Microsoft Excel, enabling data entry, upload, and validation against ADF-based services.
-
E.
ADF
ADF is the concessional financing arm of the African Development Bank Group that provides low-interest loans and grants to support economic and social development in Africa’s poorest countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cfc79081909966638cec48cf60 |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.