Triple
T17550105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abanilla |
E427436
|
entity |
| Predicate | roadAccess |
P385
|
FINISHED |
| Object |
RM-422
RM-422 is a regional road in the municipality of Abanilla, Spain, providing local transport connectivity within the area.
|
E1274924
|
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: RM-422 | Statement: [Abanilla, roadAccess, RM-422]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RM-422 Context triple: [Abanilla, roadAccess, RM-422]
-
A.
R2000
The R2000 is a 32-bit MIPS RISC microprocessor that became one of the earliest and most influential commercial implementations of the MIPS architecture in the mid-1980s.
-
B.
GR-42
GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
-
C.
FR-42
FR-42 is the ISO 3166-2 code designating the Loire department in central-eastern France.
-
D.
TX-22
TX-22 is a United States congressional district in Texas that encompasses suburban areas southwest of Houston and is represented in the U.S. House of Representatives.
-
E.
R2
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
- 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: RM-422 Triple: [Abanilla, roadAccess, RM-422]
Generated description
RM-422 is a regional road in the municipality of Abanilla, Spain, providing local transport connectivity within the area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RM-422 Target entity description: RM-422 is a regional road in the municipality of Abanilla, Spain, providing local transport connectivity within the area.
-
A.
R2000
The R2000 is a 32-bit MIPS RISC microprocessor that became one of the earliest and most influential commercial implementations of the MIPS architecture in the mid-1980s.
-
B.
GR-42
GR-42 is the ISO 3166-2 subdivision code assigned to the Larissa regional unit in Greece.
-
C.
FR-42
FR-42 is the ISO 3166-2 code designating the Loire department in central-eastern France.
-
D.
TX-22
TX-22 is a United States congressional district in Texas that encompasses suburban areas southwest of Houston and is represented in the U.S. House of Representatives.
-
E.
R2
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45463ddf88190a2c29f3246adcb6e |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d290edbc8190a7b2cb0835456890 |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d597c96c8190a5eca56a748da50c |
completed | May 11, 2026, 1:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d639c220819088dd3389d1ab60ca |
completed | May 11, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:50 a.m.