Triple
T37854150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown Triangle (Jerusalem) |
E944136
|
entity |
| Predicate | dayActivityLevel |
P189278
|
FINISHED |
| Object | very high |
—
|
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: very high | Statement: [Downtown Triangle (Jerusalem), dayActivityLevel, very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayActivityLevel Context triple: [Downtown Triangle (Jerusalem), dayActivityLevel, very high]
-
A.
humanActivityLevel
Indicates the degree or intensity of activity or movement performed by a human over a given period or in a given context.
-
B.
currentActivityLevel
Indicates the present intensity or degree of activity that an entity is engaged in at a given moment.
-
C.
activityFrequency
Indicates how often a particular activity occurs within a given time period.
-
D.
nightActivityLevel
Indicates the intensity or extent of an entity’s actions or behavior occurring during nighttime hours.
-
E.
primaryLevelOfActivity
Indicates the main or most significant level at which an entity engages in a particular activity or operation.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.