Triple
T2970687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titanic Trail |
E80271
|
entity |
| Predicate | durationType |
P14162
|
FINISHED |
| Object | short walking excursion |
—
|
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: short walking excursion | Statement: [Titanic Trail, durationType, short walking excursion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationType Context triple: [Titanic Trail, durationType, short walking excursion]
-
A.
durationUntil
Indicates the length of time remaining from a given starting point until a specified future event or state occurs.
-
B.
timeType
chosen
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
durationTotal
Indicates the overall length of time for which an event, process, or state persists, typically aggregating all its constituent durations.
-
E.
durationInitial
Indicates the initial length of time associated with an event, state, or process at its starting point.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad997282b481909d078be0e70d9930 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.