Triple
T35949464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatton Flight |
E1039679
|
entity |
| Predicate | wasModernisedFor |
P184261
|
FINISHED |
| Object | increased commercial traffic in 20th century |
—
|
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: increased commercial traffic in 20th century | Statement: [Hatton Flight, wasModernisedFor, increased commercial traffic in 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasModernisedFor Context triple: [Hatton Flight, wasModernisedFor, increased commercial traffic in 20th century]
-
A.
isModernizationOf
Indicates that one entity is an updated, improved, or contemporary version of another earlier entity.
-
B.
modernizedBy
Indicates that an entity has been updated, improved, or brought up to modern standards through the actions or influence of another entity.
-
C.
modernizationType
Indicates the specific kind or category of modernization applied to an entity or system.
-
D.
restartedAfterModernization
Indicates that an entity resumed operation or activity after undergoing a modernization process.
-
E.
remodellingEndYear
Indicates the calendar year in which a remodelling process or project was completed.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.