Triple
T32924759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayyám-i-Há |
E842235
|
entity |
| Predicate | occursBetweenMonths |
P14304
|
FINISHED |
| Object |
Mulk and ‘Alá’
Mulk and ‘Alá’ are the last two months of the Bahá’í calendar, between which the intercalary festival days of Ayyám-i-Há are inserted.
|
E2028607
|
NE FINISHED |
How this triple was built (3 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: Mulk and ‘Alá’ | Statement: [Ayyám-i-Há, occursBetweenMonths, Mulk and ‘Alá’]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mulk and ‘Alá’ Triple: [Ayyám-i-Há, occursBetweenMonths, Mulk and ‘Alá’]
Generated description
Mulk and ‘Alá’ are the last two months of the Bahá’í calendar, between which the intercalary festival days of Ayyám-i-Há are inserted.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursBetweenMonths Context triple: [Ayyám-i-Há, occursBetweenMonths, Mulk and ‘Alá’]
-
A.
occurredBetween
Indicates that an event or action took place within the time interval defined by two temporal boundaries.
-
B.
appliesDuringMonths
chosen
Indicates that something is valid, active, or in effect only during specific months of the year.
-
C.
chronologicallyBetween
Indicates that one event or time point occurs after a first reference point and before a second reference point in temporal order.
-
D.
currentBetween
Indicates that the current value of a quantity lies within a specified range between two boundary values.
-
E.
createdBetween
Indicates that something was created within a specified start and end time or date range.
- F. None of above.
Provenance (6 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c6a6960c8190a5e1183cf193efa7 |
completed | June 19, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_6a34c85cab748190abd850dca56c39ac |
completed | June 19, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34c9336fc4819092f2682493a94cfe |
completed | June 19, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.