Triple
T2961933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashhad |
E80068
|
entity |
| Predicate | pilgrimsPerYearApprox |
P45240
|
FINISHED |
| Object | millions |
—
|
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: millions | Statement: [Mashhad, pilgrimsPerYearApprox, millions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimsPerYearApprox Context triple: [Mashhad, pilgrimsPerYearApprox, millions]
-
A.
pilgrimageFrequency
Indicates how often an entity undertakes or participates in a pilgrimage.
-
B.
primaryPilgrims
Indicates that the referenced entities are the main or principal participants undertaking a pilgrimage in relation to something or someone.
-
C.
pilgrimCapacity
Indicates the maximum number of pilgrims that an entity (such as a facility, vehicle, or location) is designed or allowed to accommodate.
-
D.
historicalPeriodOfPilgrimage
Indicates the historical period during which a given pilgrimage took place or was practiced.
-
E.
yearOfArrivalInNewWorld
Indicates the specific year in which an entity arrived in the New World.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9955e6488190bea170724d5fbfe8 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.