Triple
T28084547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EPU |
E709782
|
entity |
| Predicate | associatedMode |
P81301
|
FINISHED |
| Object | London Underground |
—
|
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: London Underground | Statement: [EPU, associatedMode, London Underground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMode Context triple: [EPU, associatedMode, London Underground]
-
A.
associatedWithMode
chosen
Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
-
B.
associatedModalityGroup
Indicates a relationship where something is linked to, or grouped under, a specific modality category or set of modalities.
-
C.
associatedMOS
Indicates a relationship where one entity is linked to or paired with a specific Military Occupational Specialty (MOS) code or role.
-
D.
associatedMob
Indicates a relationship where one entity is linked or connected to a particular mob (mobile entity), typically as its counterpart, partner, or related unit.
-
E.
associatedModalityTraits
Indicates a relationship where specific traits or characteristics are linked to, or derived from, a particular modality (such as a sensory, communication, or operational mode).
- 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_6a00b479c1588190af6e0698b7f8d7f7 |
completed | May 10, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_6a00b4158260819087d0cfad8b18cef4 |
completed | May 10, 2026, 4:36 p.m. |
Created at: April 27, 2026, 8:54 p.m.