Triple
T24643950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajab |
E610052
|
entity |
| Predicate | timeUnitOf |
P156885
|
FINISHED |
| Object | about 29 or 30 days |
—
|
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: about 29 or 30 days | Statement: [Rajab, timeUnitOf, about 29 or 30 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeUnitOf Context triple: [Rajab, timeUnitOf, about 29 or 30 days]
-
A.
timeUnitOfFrequency
Indicates the unit of time (e.g., day, week, month) in which a given frequency is measured or expressed.
-
B.
timeScaleUnit
Indicates the unit of temporal measurement (such as seconds, minutes, or hours) used to express a given time scale.
-
C.
timeType
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).
-
D.
timeEquivalentOf
Indicates that two temporal entities represent the same point in time or duration, possibly expressed in different formats or units.
-
E.
timeIntervalLength
Indicates the duration or length of a specified time interval.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f40db2b5e08190bb55d02a4ceba306 |
completed | May 1, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d2b20881908dcc3b15cbe3e5b0 |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f40b2f49688190aa1217b7a456dd63 |
completed | May 1, 2026, 2:08 a.m. |
Created at: April 18, 2026, 2:33 a.m.