Triple
T8446841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Coast Trail |
E199696
|
entity |
| Predicate | dailyQuota |
P83413
|
FINISHED |
| Object | hiker numbers are limited per day |
—
|
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: hiker numbers are limited per day | Statement: [West Coast Trail, dailyQuota, hiker numbers are limited per day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dailyQuota Context triple: [West Coast Trail, dailyQuota, hiker numbers are limited per day]
-
A.
annualQuotaNumber
Indicates the specific numeric value assigned as an entity’s quota for a given year.
-
B.
hasDailyUse
Indicates that something is used or occurs on a daily, regular basis.
-
C.
oftenUsesQuotaType
Indicates that an entity frequently employs or relies on a particular type of quota in its typical operations or behavior.
-
D.
supportsProjectQuotas
Indicates that one entity provides or enables project-specific quota limits or enforcement for another entity.
-
E.
countInDayApprox
Indicates an approximate number of times an event or relation occurs within a single day.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3152a3c819092efdeab718def7a |
completed | March 31, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:09 p.m.