Triple
T28600315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain |
E723891
|
entity |
| Predicate | sharesGasInterconnectionWith |
P194174
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [Spain, sharesGasInterconnectionWith, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesGasInterconnectionWith Context triple: [Spain, sharesGasInterconnectionWith, France]
-
A.
hasInterchangesWith
Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
-
B.
interconnectionMethodToOtherGrids
Indicates the method or mechanism by which one grid is physically or operationally interconnected to other grids.
-
C.
sharesPowerWith
Indicates that two or more entities jointly hold, exercise, or distribute authority or control in a shared manner.
-
D.
supportsInterconnection
Indicates that one entity enables, facilitates, or maintains a connection or interoperability between two or more other entities.
-
E.
sharesCapitalBetween
Indicates a relationship where the ownership capital or equity is distributed or jointly held between two or more entities.
- F. None of above. chosen
Provenance (4 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
| PDg | Predicate description generation | batch_69fd67182c348190aa84a02e08dbf4e1 |
completed | May 8, 2026, 4:31 a.m. |
Created at: April 28, 2026, 4:24 a.m.